ASRock B650 LiveMixer
Geekbench AI Score
3994
Single Precision Score
996
Half Precision Score
5609
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Gigaherz |
| Upload Date | August 19 2024 02:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock B650 LiveMixer |
| Motherboard | ASRock B650 LiveMixer |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1733
322.2 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (Q)
|
99% |
4823
899.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
3502
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9957
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7795
9.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
41876
49.1 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (Q)
|
88% |
2286
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
4032
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (Q)
|
97% |
5799
69.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9000
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1176
9.06 IPS |
|
|
Depth Estimation (Q)
|
76% |
13626
109.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22201
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20848
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
40750
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2727
100.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2358
87.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4092
151.5 IPS |
|
|
Text Classification (SP)
|
100% |
1653
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
713
951.5 IPS |
|
|
Text Classification (Q)
|
97% |
485
649.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2876
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2984
66.6 IPS |
