System manufacturer System Product Name
Geekbench AI Score
1524
Single Precision Score
829
Half Precision Score
1610
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gandalfk7 |
| Upload Date | November 10 2024 02:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450M-PRO GAMING |
| Power Plan | AMD Ryzen 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.2 IPS |
|
|
Image Classification (Q)
|
96% |
1404
262.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
1035
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2913
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2570
3.00 IPS |
|
|
Pose Estimation (Q)
|
87% |
3977
4.70 IPS |
|
|
Object Detection (SP)
|
100% |
984
78.1 IPS |
|
|
Object Detection (HP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (Q)
|
86% |
858
69.0 IPS |
|
|
Face Detection (SP)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
2127
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3323
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1286
9.90 IPS |
|
|
Depth Estimation (Q)
|
77% |
3029
24.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7312
9.40 IPS |
|
|
Style Transfer (HP)
|
100% |
6039
7.76 IPS |
|
|
Style Transfer (Q)
|
87% |
7483
9.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1135
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1060
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1283
47.5 IPS |
|
|
Text Classification (SP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
362
483.4 IPS |
|
|
Text Classification (Q)
|
97% |
313
418.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (Q)
|
60% |
1219
27.2 IPS |
