Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
Geekbench ML Score
4140
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 02:05 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2294
429.2 IPS |
|
|
Image Classification (F16)
|
100% |
2301
430.6 IPS |
|
|
Image Classification (I8)
|
99% |
5536
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1392
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1348
22.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2636
44.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7961
9.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
7982
9.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
22889
27.7 IPS |
|
|
Object Detection (F32)
|
100% |
2223
166.0 IPS |
|
|
Object Detection (F16)
|
100% |
2378
177.5 IPS |
|
|
Object Detection (I8)
|
62% |
2133
159.2 IPS |
|
|
Face Detection (F32)
|
100% |
4191
49.8 IPS |
|
|
Face Detection (F16)
|
100% |
4159
49.4 IPS |
|
|
Face Detection (I8)
|
89% |
5635
67.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
9198
71.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9209
71.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
18729
145.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18520
24.4 IPS |
|
|
Style Transfer (F16)
|
100% |
18006
23.7 IPS |
|
|
Style Transfer (I8)
|
98% |
29983
39.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3040
108.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2757
98.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4064
145.1 IPS |
|
|
Text Classification (F32)
|
100% |
1520
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (I8)
|
98% |
395
567.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2653
48.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2629
48.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2922
53.8 IPS |
