HC Technology.,Ltd. HCAR6000-MI2
Geekbench ML Score
3695
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 12:59 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1787
334.4 IPS |
|
|
Image Classification (F16)
|
100% |
1777
332.5 IPS |
|
|
Image Classification (I8)
|
99% |
4600
860.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1852
30.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1243
20.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2472
41.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7443
9.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
7279
8.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
23634
28.6 IPS |
|
|
Object Detection (F32)
|
100% |
2133
159.2 IPS |
|
|
Object Detection (F16)
|
100% |
1828
136.5 IPS |
|
|
Object Detection (I8)
|
62% |
1919
143.3 IPS |
|
|
Face Detection (F32)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (F16)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (I8)
|
89% |
5445
64.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8376
65.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6439
49.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
16560
128.4 IPS |
|
|
Style Transfer (F32)
|
100% |
14507
19.1 IPS |
|
|
Style Transfer (F16)
|
100% |
15094
19.9 IPS |
|
|
Style Transfer (I8)
|
98% |
25300
33.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2529
90.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2621
93.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3901
139.3 IPS |
|
|
Text Classification (F32)
|
100% |
1512
2.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2064
2.97 KIPS |
|
|
Text Classification (I8)
|
98% |
390
561.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2171
40.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2159
39.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2760
50.8 IPS |
