Tianbei GEM10
Geekbench ML Score
2788
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 07:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Tianbei GEM10 |
| Motherboard | Tianbei GEM10 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB 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% |
1838
344.0 IPS |
|
|
Image Classification (F16)
|
100% |
1817
340.0 IPS |
|
|
Image Classification (I8)
|
97% |
3185
596.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
627
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
601
10.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
1872
31.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5603
6.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
5610
6.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
10718
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1718
128.3 IPS |
|
|
Object Detection (F16)
|
100% |
1712
127.8 IPS |
|
|
Object Detection (I8)
|
60% |
1649
123.1 IPS |
|
|
Face Detection (F32)
|
100% |
2268
27.0 IPS |
|
|
Face Detection (F16)
|
100% |
2257
26.8 IPS |
|
|
Face Detection (I8)
|
87% |
3425
40.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6348
49.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6345
49.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
9444
73.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12675
16.7 IPS |
|
|
Style Transfer (F16)
|
100% |
12579
16.5 IPS |
|
|
Style Transfer (I8)
|
85% |
14904
19.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2516
89.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2652
94.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2544
90.9 IPS |
|
|
Text Classification (F32)
|
100% |
1841
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1799
2.59 KIPS |
|
|
Text Classification (I8)
|
94% |
370
531.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1750
32.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1758
32.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1856
34.2 IPS |
