HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
854
Single Precision Score
1029
Half Precision Score
654
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | March 03 2026 10:43 AM |
| Views | 8 |
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% |
407
75.8 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
100% |
375
69.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
394
6.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
1859
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (HP)
|
98% |
474
37.7 IPS |
|
|
Object Detection (Q)
|
86% |
418
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
735
8.74 IPS |
|
|
Face Detection (HP)
|
100% |
1002
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
611
7.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
1628
12.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2075
16.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1361
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5457
7.01 IPS |
|
|
Style Transfer (HP)
|
100% |
8505
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
4448
5.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1602
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
787
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
372
496.2 IPS |
|
|
Text Classification (HP)
|
100% |
242
323.6 IPS |
|
|
Text Classification (Q)
|
97% |
208
279.1 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.85 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.20 IPS |
|
|
Machine Translation (Q)
|
70% |
207
3.88 IPS |
