HC Technology.,Ltd. HCAR6000-MI2
Geekbench ML Score
5408
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 11:01 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 | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2752
514.9 IPS |
|
|
Image Classification (F16)
|
100% |
2764
517.3 IPS |
|
|
Image Classification (I8)
|
100% |
2338
437.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2874
48.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2836
47.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2401
40.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
38211
46.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
38221
46.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
27093
32.8 IPS |
|
|
Object Detection (F32)
|
100% |
2097
156.6 IPS |
|
|
Object Detection (F16)
|
100% |
2090
156.1 IPS |
|
|
Object Detection (I8)
|
62% |
1898
141.7 IPS |
|
|
Face Detection (F32)
|
100% |
5303
63.1 IPS |
|
|
Face Detection (F16)
|
100% |
5306
63.1 IPS |
|
|
Face Detection (I8)
|
89% |
4054
48.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15862
123.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
15818
122.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
12441
96.5 IPS |
|
|
Style Transfer (F32)
|
100% |
32138
42.3 IPS |
|
|
Style Transfer (F16)
|
100% |
31783
41.8 IPS |
|
|
Style Transfer (I8)
|
98% |
27396
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6339
226.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6343
226.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4792
171.1 IPS |
|
|
Text Classification (F32)
|
100% |
1748
2.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1757
2.52 KIPS |
|
|
Text Classification (I8)
|
98% |
1395
2.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
2596
47.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2573
47.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1563
28.8 IPS |
