HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
811
Single Precision Score
1000
Half Precision Score
627
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 19 2024 12:40 AM |
| Views | 2 |
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% |
364
67.8 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
100% |
330
61.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
410
6.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2177
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3516
4.10 IPS |
|
|
Pose Estimation (Q)
|
97% |
1868
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (HP)
|
98% |
440
35.0 IPS |
|
|
Object Detection (Q)
|
89% |
370
29.6 IPS |
|
|
Face Detection (SP)
|
100% |
645
7.67 IPS |
|
|
Face Detection (HP)
|
100% |
835
9.92 IPS |
|
|
Face Detection (Q)
|
97% |
507
6.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
1564
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1978
15.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
1284
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5559
7.15 IPS |
|
|
Style Transfer (HP)
|
100% |
8430
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
4418
5.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1107
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1610
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
720
26.6 IPS |
|
|
Text Classification (SP)
|
100% |
351
468.6 IPS |
|
|
Text Classification (HP)
|
100% |
259
345.7 IPS |
|
|
Text Classification (Q)
|
97% |
252
337.7 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.14 IPS |
|
|
Machine Translation (Q)
|
60% |
193
4.30 IPS |
