Default string B650 LiveMixer
Geekbench AI Score
2929
Single Precision Score
1452
Half Precision Score
6584
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | azfaden |
| Upload Date | April 07 2025 03:41 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Default string B650 LiveMixer |
| Motherboard | ASRock B650 LiveMixer |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2127
395.5 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.4 IPS |
|
|
Image Classification (Q)
|
99% |
6597
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3299
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4412
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3765
4.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
17151
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1938
153.7 IPS |
|
|
Object Detection (HP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
86% |
6713
539.6 IPS |
|
|
Face Detection (SP)
|
100% |
4092
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
9544
113.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5260
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2068
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13398
106.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10637
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9545
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15972
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2016
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4581
92.0 IPS |
