HC Technology.,Ltd. HCAR6000-MI2
Geekbench ML Score
5426
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 11:28 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% |
2742
513.2 IPS |
|
|
Image Classification (F16)
|
100% |
2786
521.2 IPS |
|
|
Image Classification (I8)
|
100% |
2325
435.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2893
48.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2950
49.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2492
41.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
38082
46.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
38092
46.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
27529
33.3 IPS |
|
|
Object Detection (F32)
|
100% |
2109
157.4 IPS |
|
|
Object Detection (F16)
|
100% |
2097
156.5 IPS |
|
|
Object Detection (I8)
|
62% |
1864
139.1 IPS |
|
|
Face Detection (F32)
|
100% |
5302
63.0 IPS |
|
|
Face Detection (F16)
|
100% |
5281
62.8 IPS |
|
|
Face Detection (I8)
|
89% |
4047
48.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16063
124.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
15912
123.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
12523
97.1 IPS |
|
|
Style Transfer (F32)
|
100% |
32013
42.1 IPS |
|
|
Style Transfer (F16)
|
100% |
31476
41.4 IPS |
|
|
Style Transfer (I8)
|
98% |
29046
38.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6298
224.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6299
225.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4786
170.9 IPS |
|
|
Text Classification (F32)
|
100% |
1699
2.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1766
2.54 KIPS |
|
|
Text Classification (I8)
|
98% |
1386
1.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
2575
47.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2597
47.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1553
28.6 IPS |
