HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
845
Single Precision Score
1008
Half Precision Score
638
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 16 2024 05:31 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% |
329
61.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
407
6.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
2186
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3403
3.97 IPS |
|
|
Pose Estimation (Q)
|
97% |
1877
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
98% |
431
34.3 IPS |
|
|
Object Detection (Q)
|
89% |
368
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
656
7.79 IPS |
|
|
Face Detection (HP)
|
100% |
835
9.92 IPS |
|
|
Face Detection (Q)
|
97% |
495
5.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
1576
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1967
15.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
1295
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5565
7.15 IPS |
|
|
Style Transfer (HP)
|
100% |
8567
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
4520
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
777
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
445
594.0 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.9 IPS |
|
|
Text Classification (Q)
|
97% |
272
364.0 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (Q)
|
60% |
198
4.42 IPS |
