HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
836
Single Precision Score
1006
Half Precision Score
639
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 16 2024 01:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
344
63.9 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.5 IPS |
|
|
Image Classification (Q)
|
100% |
331
61.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
409
6.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
2138
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3507
4.09 IPS |
|
|
Pose Estimation (Q)
|
97% |
1900
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
413
32.7 IPS |
|
|
Object Detection (HP)
|
98% |
440
35.0 IPS |
|
|
Object Detection (Q)
|
89% |
363
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
656
7.80 IPS |
|
|
Face Detection (HP)
|
100% |
839
9.96 IPS |
|
|
Face Detection (Q)
|
97% |
498
5.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
1574
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1974
15.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
1287
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5540
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
8615
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4529
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1588
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
802
29.7 IPS |
|
|
Text Classification (SP)
|
100% |
432
576.3 IPS |
|
|
Text Classification (HP)
|
100% |
290
386.9 IPS |
|
|
Text Classification (Q)
|
97% |
266
355.7 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.21 IPS |
|
|
Machine Translation (Q)
|
60% |
198
4.41 IPS |
