HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
853
Single Precision Score
265
Half Precision Score
1034
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | September 10 2024 02:20 AM |
| Views | 9 |
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% |
699
130.0 IPS |
|
|
Image Classification (HP)
|
100% |
84
15.6 IPS |
|
|
Image Classification (Q)
|
97% |
1043
194.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
103
1.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
913
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1624
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1264
1.47 IPS |
|
|
Pose Estimation (Q)
|
87% |
3141
3.71 IPS |
|
|
Object Detection (SP)
|
100% |
636
50.4 IPS |
|
|
Object Detection (HP)
|
100% |
93
7.40 IPS |
|
|
Object Detection (Q)
|
86% |
736
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
811
9.64 IPS |
|
|
Face Detection (HP)
|
100% |
137
1.63 IPS |
|
|
Face Detection (Q)
|
96% |
1541
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1658
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
330
2.54 IPS |
|
|
Depth Estimation (Q)
|
76% |
1382
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2777
3.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1942
2.50 IPS |
|
|
Style Transfer (Q)
|
87% |
3579
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
788
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
480
640.9 IPS |
|
|
Text Classification (HP)
|
100% |
219
293.0 IPS |
|
|
Text Classification (Q)
|
97% |
180
241.6 IPS |
|
|
Machine Translation (SP)
|
100% |
653
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (Q)
|
60% |
590
13.2 IPS |
