HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1079
Single Precision Score
347
Half Precision Score
1360
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 19 2024 12:32 AM |
| Views | 2 |
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% |
715
132.9 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.1 IPS |
|
|
Image Classification (Q)
|
97% |
1173
218.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
102
1.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
973
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1618
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1327
1.55 IPS |
|
|
Pose Estimation (Q)
|
87% |
3342
3.95 IPS |
|
|
Object Detection (SP)
|
100% |
671
53.2 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.79 IPS |
|
|
Object Detection (Q)
|
86% |
774
62.2 IPS |
|
|
Face Detection (SP)
|
100% |
854
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
140
1.66 IPS |
|
|
Face Detection (Q)
|
96% |
1497
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1904
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
407
3.14 IPS |
|
|
Depth Estimation (Q)
|
76% |
2208
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4361
5.61 IPS |
|
|
Style Transfer (HP)
|
100% |
3187
4.10 IPS |
|
|
Style Transfer (Q)
|
87% |
5279
6.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
936
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1408
52.2 IPS |
|
|
Text Classification (SP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.5 IPS |
|
|
Text Classification (Q)
|
97% |
374
500.9 IPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (Q)
|
60% |
800
17.8 IPS |
