HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
853
Single Precision Score
934
Half Precision Score
667
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 19 2024 12:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon 530 Series |
| 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% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.1 IPS |
|
|
Image Classification (Q)
|
100% |
222
41.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
382
6.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
4190
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4223
4.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
3545
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
87% |
273
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
651
7.73 IPS |
|
|
Face Detection (HP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (Q)
|
97% |
532
6.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
1549
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1675
12.9 IPS |
|
|
Depth Estimation (Q)
|
71% |
1190
9.93 IPS |
|
|
Style Transfer (SP)
|
100% |
6682
8.59 IPS |
|
|
Style Transfer (HP)
|
100% |
6753
8.68 IPS |
|
|
Style Transfer (Q)
|
98% |
5740
7.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1713
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1006
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
211
282.2 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.2 IPS |
|
|
Text Classification (Q)
|
97% |
230
308.6 IPS |
|
|
Machine Translation (SP)
|
100% |
563
9.69 IPS |
|
|
Machine Translation (HP)
|
96% |
681
11.8 IPS |
|
|
Machine Translation (Q)
|
60% |
254
5.73 IPS |
