HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1051
Single Precision Score
336
Half Precision Score
1281
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 29 2024 03:37 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| 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% |
777
144.4 IPS |
|
|
Image Classification (HP)
|
100% |
88
16.4 IPS |
|
|
Image Classification (Q)
|
97% |
1128
210.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
944
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1304
1.52 IPS |
|
|
Pose Estimation (Q)
|
87% |
3092
3.65 IPS |
|
|
Object Detection (SP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (HP)
|
100% |
99
7.83 IPS |
|
|
Object Detection (Q)
|
86% |
730
58.7 IPS |
|
|
Face Detection (SP)
|
100% |
829
9.85 IPS |
|
|
Face Detection (HP)
|
100% |
132
1.57 IPS |
|
|
Face Detection (Q)
|
96% |
1522
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1804
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
394
3.04 IPS |
|
|
Depth Estimation (Q)
|
76% |
1988
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4332
5.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3266
4.20 IPS |
|
|
Style Transfer (Q)
|
87% |
4988
6.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
822
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1362
50.5 IPS |
|
|
Text Classification (SP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
446
596.0 IPS |
|
|
Text Classification (Q)
|
97% |
315
422.4 IPS |
|
|
Machine Translation (SP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (Q)
|
60% |
765
17.1 IPS |
