HP HP Notebook - 14s-cr2003tx
Geekbench ML Score
760
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 22 2024 01:25 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | HP HP Notebook - 14s-cr2003tx |
| Motherboard | HP 8659 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
359
67.1 IPS |
|
|
Image Classification (F16)
|
100% |
357
66.7 IPS |
|
|
Image Classification (I8)
|
100% |
324
60.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
483
8.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
486
8.11 IPS |
|
|
Image Segmentation (I8)
|
98% |
396
6.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
2110
2.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
2128
2.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
1881
2.28 IPS |
|
|
Object Detection (F32)
|
100% |
414
30.9 IPS |
|
|
Object Detection (F16)
|
100% |
416
31.0 IPS |
|
|
Object Detection (I8)
|
54% |
362
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
643
7.65 IPS |
|
|
Face Detection (F16)
|
100% |
641
7.62 IPS |
|
|
Face Detection (I8)
|
89% |
498
5.93 IPS |
|
|
Depth Estimation (F32)
|
100% |
1577
12.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1553
12.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
1339
10.4 IPS |
|
|
Style Transfer (F32)
|
100% |
5409
7.12 IPS |
|
|
Style Transfer (F16)
|
100% |
5413
7.12 IPS |
|
|
Style Transfer (I8)
|
98% |
4393
5.78 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1069
38.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1105
39.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
816
29.1 IPS |
|
|
Text Classification (F32)
|
100% |
404
580.8 IPS |
|
|
Text Classification (F16)
|
100% |
410
589.2 IPS |
|
|
Text Classification (I8)
|
98% |
248
356.3 IPS |
|
|
Machine Translation (F32)
|
100% |
392
7.22 IPS |
|
|
Machine Translation (F16)
|
100% |
393
7.23 IPS |
|
|
Machine Translation (I8)
|
70% |
256
4.70 IPS |
