Generic
Geekbench AI Score
2834
Single Precision Score
1298
Half Precision Score
3629
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 02:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Phantom Gaming-ITX/ax |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1686
313.5 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.8 IPS |
|
|
Image Classification (Q)
|
96% |
3317
619.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2538
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4399
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3553
4.15 IPS |
|
|
Pose Estimation (Q)
|
87% |
9574
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1886
149.6 IPS |
|
|
Object Detection (HP)
|
100% |
612
48.5 IPS |
|
|
Object Detection (Q)
|
86% |
1760
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
2705
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
1488
17.7 IPS |
|
|
Face Detection (Q)
|
96% |
4100
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6431
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1985
15.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5839
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11147
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9653
12.4 IPS |
|
|
Style Transfer (Q)
|
87% |
13978
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2697
100.0 IPS |
|
|
Text Classification (SP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
652
870.5 IPS |
|
|
Text Classification (Q)
|
97% |
1362
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2115
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2275
50.7 IPS |
