HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1285
Single Precision Score
1973
Half Precision Score
1872
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 19 2024 01:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
940
174.8 IPS |
|
|
Image Classification (HP)
|
100% |
1442
268.2 IPS |
|
|
Image Classification (Q)
|
100% |
1317
245.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1604
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2189
2.55 IPS |
|
|
Pose Estimation (HP)
|
99% |
2201
2.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
3137
3.67 IPS |
|
|
Object Detection (SP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (HP)
|
99% |
1391
110.7 IPS |
|
|
Object Detection (Q)
|
88% |
1312
105.2 IPS |
|
|
Face Detection (SP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (Q)
|
97% |
2819
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2611
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4521
34.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
3926
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6304
8.10 IPS |
|
|
Style Transfer (HP)
|
100% |
8898
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7679
9.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1145
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1877
69.5 IPS |
|
|
Text Classification (SP)
|
71% |
531
767.5 IPS |
|
|
Text Classification (HP)
|
71% |
612
885.3 IPS |
|
|
Text Classification (Q)
|
92% |
492
660.4 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (HP)
|
97% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
90% |
776
13.5 IPS |
