Gigabyte Technology Co., Ltd. B650 AORUS PRO AX
Geekbench ML Score
4941
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 08:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS PRO AX |
| Power Plan | Ausbalanciert |
| 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% |
1856
347.3 IPS |
|
|
Image Classification (F16)
|
100% |
1828
342.0 IPS |
|
|
Image Classification (I8)
|
99% |
4560
853.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2443
40.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2402
40.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3096
51.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
15616
18.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
15567
18.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
41993
50.9 IPS |
|
|
Object Detection (F32)
|
100% |
2118
158.1 IPS |
|
|
Object Detection (F16)
|
100% |
2114
157.8 IPS |
|
|
Object Detection (I8)
|
62% |
2175
162.4 IPS |
|
|
Face Detection (F32)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (F16)
|
100% |
4241
50.4 IPS |
|
|
Face Detection (I8)
|
89% |
6527
77.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
10899
84.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10581
82.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
23416
181.6 IPS |
|
|
Style Transfer (F32)
|
100% |
28958
38.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28888
38.0 IPS |
|
|
Style Transfer (I8)
|
98% |
38749
51.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3219
115.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3914
139.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5116
182.7 IPS |
|
|
Text Classification (F32)
|
100% |
1552
2.23 KIPS |
|
|
Text Classification (F16)
|
100% |
1549
2.23 KIPS |
|
|
Text Classification (I8)
|
98% |
390
560.5 IPS |
|
|
Machine Translation (F32)
|
100% |
3196
58.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3036
55.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3837
70.6 IPS |
