AMD Ryzen 7 3800X in Asus TUF Gaming X570 + GF RTX 3060 12GB + GF GTX 1660 6GB + 64GB RAM System manufacturer System Product Name
Geekbench AI Score
8165
Single Precision Score
7023
Half Precision Score
6027
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | electric0xyg3n |
| Upload Date | January 11 2026 06:21 AM |
| Views | 1 |
| Notes | GF GTX 1660 6GB result on fresh reboot & background services shut down |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 |
| 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% |
3556
661.3 IPS |
|
|
Image Classification (HP)
|
100% |
3455
642.6 IPS |
|
|
Image Classification (Q)
|
99% |
2961
552.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4639
75.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4435
71.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3964
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
39885
46.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25339
29.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32946
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
4162
330.1 IPS |
|
|
Object Detection (HP)
|
100% |
4009
318.0 IPS |
|
|
Object Detection (Q)
|
83% |
3465
280.0 IPS |
|
|
Face Detection (SP)
|
100% |
8378
99.6 IPS |
|
|
Face Detection (HP)
|
100% |
8209
97.5 IPS |
|
|
Face Detection (Q)
|
97% |
7024
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21348
164.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17291
133.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15871
126.6 IPS |
|
|
Style Transfer (SP)
|
100% |
70684
90.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49357
63.4 IPS |
|
|
Style Transfer (Q)
|
98% |
55825
72.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12211
450.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10618
392.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8005
296.4 IPS |
|
|
Text Classification (SP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (Q)
|
97% |
943
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1961
33.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1961
33.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1006
18.9 IPS |
