HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
727
Single Precision Score
1083
Half Precision Score
1032
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | January 23 2026 02:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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% |
446
83.0 IPS |
|
|
Image Classification (HP)
|
100% |
722
134.3 IPS |
|
|
Image Classification (Q)
|
100% |
662
123.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
844
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1058
1.23 IPS |
|
|
Pose Estimation (HP)
|
99% |
969
1.13 IPS |
|
|
Pose Estimation (Q)
|
97% |
1456
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (HP)
|
99% |
737
58.6 IPS |
|
|
Object Detection (Q)
|
88% |
691
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2164
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
1942
23.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1252
9.65 IPS |
|
|
Depth Estimation (HP)
|
98% |
2190
16.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
2018
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2994
3.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3793
4.88 IPS |
|
|
Style Transfer (Q)
|
98% |
3470
4.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
898
33.3 IPS |
|
|
Text Classification (SP)
|
71% |
315
455.0 IPS |
|
|
Text Classification (HP)
|
71% |
411
595.0 IPS |
|
|
Text Classification (Q)
|
92% |
288
386.6 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (HP)
|
99% |
704
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
696
12.0 IPS |
