Generic
Geekbench AI Score
1787
Single Precision Score
864
Half Precision Score
1856
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Gully23 |
| Upload Date | April 15 2025 10:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock A320M-DGS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1185
220.3 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (Q)
|
96% |
1606
300.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
462
7.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
1070
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2822
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2413
2.82 IPS |
|
|
Pose Estimation (Q)
|
86% |
3393
4.01 IPS |
|
|
Object Detection (SP)
|
100% |
1188
94.3 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
58% |
1185
129.4 IPS |
|
|
Face Detection (SP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
909
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
3902
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3752
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1306
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
4174
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7453
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
5900
7.58 IPS |
|
|
Style Transfer (Q)
|
87% |
7347
9.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1330
49.3 IPS |
|
|
Text Classification (SP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
413
551.2 IPS |
|
|
Text Classification (Q)
|
97% |
309
414.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
68% |
1431
27.6 IPS |
