HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1295
Single Precision Score
1971
Half Precision Score
1886
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 29 2024 04:30 AM |
| Views | 3 |
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% |
945
175.8 IPS |
|
|
Image Classification (HP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (Q)
|
100% |
1262
234.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1593
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2147
2.51 IPS |
|
|
Pose Estimation (HP)
|
99% |
2206
2.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
3127
3.66 IPS |
|
|
Object Detection (SP)
|
100% |
803
63.7 IPS |
|
|
Object Detection (HP)
|
99% |
1409
112.1 IPS |
|
|
Object Detection (Q)
|
88% |
1326
106.3 IPS |
|
|
Face Detection (SP)
|
100% |
1680
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
2833
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2634
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4652
35.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
4019
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6503
8.36 IPS |
|
|
Style Transfer (HP)
|
100% |
9047
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8019
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1139
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1996
73.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1916
70.9 IPS |
|
|
Text Classification (SP)
|
71% |
535
774.3 IPS |
|
|
Text Classification (HP)
|
71% |
621
898.5 IPS |
|
|
Text Classification (Q)
|
92% |
500
672.0 IPS |
|
|
Machine Translation (SP)
|
100% |
555
9.55 IPS |
|
|
Machine Translation (HP)
|
97% |
791
13.7 IPS |
|
|
Machine Translation (Q)
|
90% |
784
13.6 IPS |
