Generic
Geekbench AI Score
2479
Single Precision Score
1125
Half Precision Score
3918
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 01:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450 Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2372
441.2 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.0 IPS |
|
|
Image Classification (Q)
|
96% |
3539
660.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
2219
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3400
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2998
3.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
7933
9.38 IPS |
|
|
Object Detection (SP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (Q)
|
58% |
2487
271.8 IPS |
|
|
Face Detection (SP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
7009
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4862
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1470
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7887
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9259
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7625
9.80 IPS |
|
|
Style Transfer (Q)
|
87% |
13288
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1575
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1340
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2132
79.0 IPS |
|
|
Text Classification (SP)
|
100% |
1224
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
644
859.6 IPS |
|
|
Text Classification (Q)
|
97% |
1379
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1768
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2554
49.3 IPS |
