HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
828
Single Precision Score
1025
Half Precision Score
643
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | March 03 2026 10:53 AM |
| Views | 6 |
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% |
394
73.3 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.6 IPS |
|
|
Image Classification (Q)
|
100% |
371
69.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
372
6.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
2119
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3389
3.95 IPS |
|
|
Pose Estimation (Q)
|
97% |
1857
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (HP)
|
98% |
481
38.3 IPS |
|
|
Object Detection (Q)
|
86% |
411
33.1 IPS |
|
|
Face Detection (SP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (HP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
610
7.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
1571
12.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2072
16.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1344
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5439
6.99 IPS |
|
|
Style Transfer (HP)
|
100% |
8637
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4429
5.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
958
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
732
27.1 IPS |
|
|
Text Classification (SP)
|
100% |
350
466.8 IPS |
|
|
Text Classification (HP)
|
100% |
240
320.4 IPS |
|
|
Text Classification (Q)
|
97% |
206
276.5 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (Q)
|
70% |
211
3.96 IPS |
