HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
844
Single Precision Score
1015
Half Precision Score
640
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 29 2024 04:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
364
67.8 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (Q)
|
100% |
331
61.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
408
6.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
2181
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3508
4.09 IPS |
|
|
Pose Estimation (Q)
|
97% |
1911
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
98% |
438
34.8 IPS |
|
|
Object Detection (Q)
|
89% |
362
28.9 IPS |
|
|
Face Detection (SP)
|
100% |
645
7.67 IPS |
|
|
Face Detection (HP)
|
100% |
837
9.94 IPS |
|
|
Face Detection (Q)
|
97% |
500
5.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
1563
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1977
15.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
1285
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5542
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
8501
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
4458
5.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1611
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
795
29.4 IPS |
|
|
Text Classification (SP)
|
100% |
456
608.3 IPS |
|
|
Text Classification (HP)
|
100% |
295
394.3 IPS |
|
|
Text Classification (Q)
|
97% |
273
365.1 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.19 IPS |
|
|
Machine Translation (Q)
|
60% |
199
4.43 IPS |
