System manufacturer System Product Name
Geekbench AI Score
1625
Single Precision Score
819
Half Precision Score
1998
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Brock_Suire |
| Upload Date | June 13 2025 03:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1120
208.3 IPS |
|
|
Image Classification (HP)
|
100% |
317
59.0 IPS |
|
|
Image Classification (Q)
|
96% |
1683
314.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
574
9.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
1278
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3353
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2720
3.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
3655
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
386
30.7 IPS |
|
|
Object Detection (Q)
|
58% |
1207
131.9 IPS |
|
|
Face Detection (SP)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
845
10.0 IPS |
|
|
Face Detection (Q)
|
96% |
3694
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3620
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1253
9.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
3945
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7718
9.92 IPS |
|
|
Style Transfer (HP)
|
100% |
6172
7.93 IPS |
|
|
Style Transfer (Q)
|
87% |
6898
8.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1158
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1290
47.8 IPS |
|
|
Text Classification (SP)
|
100% |
691
922.2 IPS |
|
|
Text Classification (HP)
|
100% |
357
476.8 IPS |
|
|
Text Classification (Q)
|
97% |
653
875.0 IPS |
|
|
Machine Translation (SP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.07 IPS |
|
|
Machine Translation (Q)
|
68% |
1264
24.4 IPS |
