HC Technology.,Ltd. HCAR6000-MI2
Geekbench ML Score
3881
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 02:53 PM |
| Views | 4 |
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% |
2088
390.7 IPS |
|
|
Image Classification (F16)
|
100% |
2135
399.5 IPS |
|
|
Image Classification (I8)
|
99% |
5171
967.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1125
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1246
20.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2540
42.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7457
9.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
7465
9.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
24600
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2136
159.4 IPS |
|
|
Object Detection (F16)
|
100% |
2123
158.5 IPS |
|
|
Object Detection (I8)
|
62% |
2132
159.2 IPS |
|
|
Face Detection (F32)
|
100% |
3581
42.6 IPS |
|
|
Face Detection (F16)
|
100% |
3626
43.1 IPS |
|
|
Face Detection (I8)
|
89% |
5431
64.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
8432
65.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8460
65.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
16477
127.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15513
20.4 IPS |
|
|
Style Transfer (F16)
|
100% |
17181
22.6 IPS |
|
|
Style Transfer (I8)
|
98% |
26525
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2894
103.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2809
100.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3725
133.0 IPS |
|
|
Text Classification (F32)
|
100% |
2030
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
2031
2.92 KIPS |
|
|
Text Classification (I8)
|
98% |
391
561.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2327
42.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2265
41.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2853
52.5 IPS |
