AMD Ryzen 7 3800X in Asus TUF Gaming X570 + GF RTX 3060 12GB + GF RTX 1660 6GB + 64GB RAM System manufacturer System Product Name
Geekbench AI Score
14456
Single Precision Score
25088
Half Precision Score
9822
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | electric0xyg3n |
| Upload Date | January 11 2026 06:23 AM |
| Views | 6 |
| Notes | GF RTX 3060 12GB tested with fresh reboot and background services shut down |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6142
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
10101
1.88 KIPS |
|
|
Image Classification (Q)
|
99% |
4642
865.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10215
165.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16272
263.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8001
130.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
68653
80.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
197101
230.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
56718
66.5 IPS |
|
|
Object Detection (SP)
|
100% |
7437
589.9 IPS |
|
|
Object Detection (HP)
|
100% |
13674
1.08 KIPS |
|
|
Object Detection (Q)
|
84% |
5789
466.9 IPS |
|
|
Face Detection (SP)
|
100% |
17045
202.5 IPS |
|
|
Face Detection (HP)
|
100% |
28312
336.4 IPS |
|
|
Face Detection (Q)
|
97% |
13598
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
34667
267.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
68577
529.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
23932
191.6 IPS |
|
|
Style Transfer (SP)
|
100% |
115383
148.3 IPS |
|
|
Style Transfer (HP)
|
100% |
295163
379.4 IPS |
|
|
Style Transfer (Q)
|
98% |
91285
117.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20742
765.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35000
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13505
500.1 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
2744
3.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1183
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3803
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4052
69.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1445
27.1 IPS |
