Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench ML Score
4811
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 05:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1781
333.3 IPS |
|
|
Image Classification (F16)
|
100% |
1832
342.8 IPS |
|
|
Image Classification (I8)
|
99% |
4233
792.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2477
41.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2439
40.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2996
50.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
15075
18.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
14869
18.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
43318
52.5 IPS |
|
|
Object Detection (F32)
|
100% |
2112
157.7 IPS |
|
|
Object Detection (F16)
|
100% |
2087
155.8 IPS |
|
|
Object Detection (I8)
|
62% |
2056
153.5 IPS |
|
|
Face Detection (F32)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (F16)
|
100% |
4270
50.8 IPS |
|
|
Face Detection (I8)
|
89% |
6141
73.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
10730
83.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10861
84.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
22127
171.6 IPS |
|
|
Style Transfer (F32)
|
100% |
26154
34.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26425
34.8 IPS |
|
|
Style Transfer (I8)
|
98% |
40644
53.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3798
135.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3877
138.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4277
152.8 IPS |
|
|
Text Classification (F32)
|
100% |
1512
2.17 KIPS |
|
|
Text Classification (F16)
|
100% |
1476
2.12 KIPS |
|
|
Text Classification (I8)
|
98% |
372
534.2 IPS |
|
|
Machine Translation (F32)
|
100% |
3002
55.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2947
54.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3543
65.2 IPS |
