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
14382
Single Precision Score
24505
Half Precision Score
9667
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | electric0xyg3n |
| Upload Date | January 06 2026 10:21 AM |
| Views | 9 |
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% |
6052
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
10067
1.88 KIPS |
|
|
Image Classification (Q)
|
99% |
4654
868.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10328
167.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15375
249.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7023
114.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
67108
78.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
188228
219.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
56611
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
7446
590.6 IPS |
|
|
Object Detection (HP)
|
100% |
13137
1.04 KIPS |
|
|
Object Detection (Q)
|
84% |
5701
459.8 IPS |
|
|
Face Detection (SP)
|
100% |
17199
204.4 IPS |
|
|
Face Detection (HP)
|
100% |
28695
341.0 IPS |
|
|
Face Detection (Q)
|
97% |
13316
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
34204
263.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
66217
511.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
23985
192.0 IPS |
|
|
Style Transfer (SP)
|
100% |
115537
148.5 IPS |
|
|
Style Transfer (HP)
|
100% |
293983
377.9 IPS |
|
|
Style Transfer (Q)
|
98% |
92817
119.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20991
775.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34827
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13561
502.1 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
99% |
2687
3.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1173
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3782
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3903
67.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1434
26.9 IPS |
