Gigabyte Technology Co., Ltd. B560M AORUS PRO AX
Geekbench ML Score
3153
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 11:54 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B560M AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B560M AORUS PRO AX |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 12.0 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% |
1731
324.0 IPS |
|
|
Image Classification (F16)
|
100% |
1731
323.9 IPS |
|
|
Image Classification (I8)
|
99% |
3494
653.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1385
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1391
23.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1879
31.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5414
6.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
5401
6.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
18034
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1588
118.5 IPS |
|
|
Object Detection (F16)
|
100% |
1578
117.8 IPS |
|
|
Object Detection (I8)
|
62% |
1773
132.4 IPS |
|
|
Face Detection (F32)
|
100% |
2417
28.7 IPS |
|
|
Face Detection (F16)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (I8)
|
89% |
4207
50.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5924
45.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5949
46.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
13896
107.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12838
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12854
16.9 IPS |
|
|
Style Transfer (I8)
|
98% |
18364
24.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2611
93.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2624
93.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4160
148.6 IPS |
|
|
Text Classification (F32)
|
100% |
1636
2.35 KIPS |
|
|
Text Classification (F16)
|
100% |
1640
2.36 KIPS |
|
|
Text Classification (I8)
|
98% |
436
626.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1884
34.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1888
34.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2393
44.0 IPS |
