HONOR HYM-WXX
Geekbench ML Score
6095
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:53 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | HONOR HYM-WXX |
| Motherboard | HONOR HYM-WXX-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3362
629.1 IPS |
|
|
Image Classification (F16)
|
100% |
3354
627.6 IPS |
|
|
Image Classification (I8)
|
100% |
2664
498.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3836
64.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3841
64.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3274
54.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
31422
38.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
31004
37.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
23638
28.6 IPS |
|
|
Object Detection (F32)
|
100% |
2540
189.6 IPS |
|
|
Object Detection (F16)
|
100% |
2245
167.6 IPS |
|
|
Object Detection (I8)
|
61% |
2405
179.6 IPS |
|
|
Face Detection (F32)
|
100% |
7871
93.6 IPS |
|
|
Face Detection (F16)
|
100% |
7893
93.8 IPS |
|
|
Face Detection (I8)
|
89% |
6238
74.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
17617
136.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17630
136.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
13770
106.8 IPS |
|
|
Style Transfer (F32)
|
100% |
51211
67.4 IPS |
|
|
Style Transfer (F16)
|
100% |
53533
70.4 IPS |
|
|
Style Transfer (I8)
|
98% |
48001
63.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8722
311.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8663
309.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5565
198.7 IPS |
|
|
Text Classification (F32)
|
100% |
1306
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1302
1.87 KIPS |
|
|
Text Classification (I8)
|
98% |
981
1.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
2083
38.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2163
39.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1125
20.7 IPS |
