HC Technology.,Ltd. HCAR6000-MI2
Geekbench ML Score
5410
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 01:00 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% |
2870
537.0 IPS |
|
|
Image Classification (F16)
|
100% |
2808
525.5 IPS |
|
|
Image Classification (I8)
|
100% |
2283
427.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2797
46.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2819
47.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2424
40.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
40471
49.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
38379
46.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
28958
35.1 IPS |
|
|
Object Detection (F32)
|
100% |
2016
150.5 IPS |
|
|
Object Detection (F16)
|
100% |
2025
151.2 IPS |
|
|
Object Detection (I8)
|
62% |
1879
140.3 IPS |
|
|
Face Detection (F32)
|
100% |
5433
64.6 IPS |
|
|
Face Detection (F16)
|
100% |
5446
64.8 IPS |
|
|
Face Detection (I8)
|
89% |
4176
49.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16295
126.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
16704
129.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
13373
103.7 IPS |
|
|
Style Transfer (F32)
|
100% |
32079
42.2 IPS |
|
|
Style Transfer (F16)
|
100% |
31702
41.7 IPS |
|
|
Style Transfer (I8)
|
98% |
31056
40.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6048
216.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6076
217.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4350
155.4 IPS |
|
|
Text Classification (F32)
|
100% |
1701
2.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1723
2.48 KIPS |
|
|
Text Classification (I8)
|
98% |
1461
2.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
2720
50.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1886
34.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1643
30.2 IPS |
