Tianbei GEM10
Geekbench ML Score
4994
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 07:22 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 | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1943
363.6 IPS |
|
|
Image Classification (F16)
|
100% |
2015
377.0 IPS |
|
|
Image Classification (I8)
|
100% |
1692
316.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3115
52.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3077
51.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2550
42.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
27471
33.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
28407
34.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
22745
27.5 IPS |
|
|
Object Detection (F32)
|
100% |
1566
116.9 IPS |
|
|
Object Detection (F16)
|
100% |
1639
122.4 IPS |
|
|
Object Detection (I8)
|
62% |
1451
108.3 IPS |
|
|
Face Detection (F32)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (F16)
|
100% |
4853
57.7 IPS |
|
|
Face Detection (I8)
|
89% |
3833
45.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
13091
101.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13164
102.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
10498
81.4 IPS |
|
|
Style Transfer (F32)
|
100% |
36278
47.7 IPS |
|
|
Style Transfer (F16)
|
100% |
50246
66.1 IPS |
|
|
Style Transfer (I8)
|
98% |
34414
45.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7074
252.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10243
365.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5420
193.6 IPS |
|
|
Text Classification (F32)
|
100% |
1483
2.13 KIPS |
|
|
Text Classification (F16)
|
100% |
1522
2.19 KIPS |
|
|
Text Classification (I8)
|
98% |
1066
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
2494
45.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2455
45.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1412
26.0 IPS |
