HC Technology.,Ltd. HCAR6000-MI2
Geekbench ML Score
5417
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 02:55 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HC Technology.,Ltd. HCAR6000-MI2 |
| Motherboard | HC Technology.,Ltd. HCAR6000-MI2 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 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 | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2616
489.6 IPS |
|
|
Image Classification (F16)
|
100% |
2538
474.9 IPS |
|
|
Image Classification (I8)
|
100% |
2121
396.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2810
46.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2825
47.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2399
40.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
39384
47.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
39560
47.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
29636
35.9 IPS |
|
|
Object Detection (F32)
|
100% |
2072
154.7 IPS |
|
|
Object Detection (F16)
|
100% |
1966
146.8 IPS |
|
|
Object Detection (I8)
|
62% |
1879
140.3 IPS |
|
|
Face Detection (F32)
|
100% |
5434
64.6 IPS |
|
|
Face Detection (F16)
|
100% |
5430
64.6 IPS |
|
|
Face Detection (I8)
|
89% |
4185
49.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16755
129.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
16119
125.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
13015
100.9 IPS |
|
|
Style Transfer (F32)
|
100% |
31933
42.0 IPS |
|
|
Style Transfer (F16)
|
100% |
31581
41.5 IPS |
|
|
Style Transfer (I8)
|
98% |
27870
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6234
222.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5998
214.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4643
165.8 IPS |
|
|
Text Classification (F32)
|
100% |
1730
2.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1799
2.59 KIPS |
|
|
Text Classification (I8)
|
98% |
1488
2.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
2634
48.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2570
47.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1641
30.2 IPS |
