HC Technology.,Ltd. HCAR6000-MI2
Geekbench ML Score
2740
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 11:26 AM |
| 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% |
1349
252.4 IPS |
|
|
Image Classification (F16)
|
100% |
1472
275.4 IPS |
|
|
Image Classification (I8)
|
99% |
3475
650.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
856
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
820
13.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1735
29.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4214
5.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
4742
5.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
18618
22.5 IPS |
|
|
Object Detection (F32)
|
100% |
1487
111.0 IPS |
|
|
Object Detection (F16)
|
100% |
1304
97.4 IPS |
|
|
Object Detection (I8)
|
62% |
1448
108.1 IPS |
|
|
Face Detection (F32)
|
100% |
2840
33.8 IPS |
|
|
Face Detection (F16)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (I8)
|
89% |
4207
50.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5825
45.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5894
45.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
12491
96.9 IPS |
|
|
Style Transfer (F32)
|
100% |
11937
15.7 IPS |
|
|
Style Transfer (F16)
|
100% |
12675
16.7 IPS |
|
|
Style Transfer (I8)
|
98% |
21494
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2016
72.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1949
69.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2625
93.7 IPS |
|
|
Text Classification (F32)
|
100% |
1144
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
1305
1.88 KIPS |
|
|
Text Classification (I8)
|
98% |
315
452.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1751
32.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1791
33.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2222
40.9 IPS |
