HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
842
Single Precision Score
1007
Half Precision Score
638
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 22 2024 12:32 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% |
364
67.6 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.7 IPS |
|
|
Image Classification (Q)
|
100% |
327
60.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
408
6.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
2166
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3492
4.07 IPS |
|
|
Pose Estimation (Q)
|
97% |
1913
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (HP)
|
98% |
436
34.7 IPS |
|
|
Object Detection (Q)
|
89% |
368
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (HP)
|
100% |
841
9.99 IPS |
|
|
Face Detection (Q)
|
97% |
501
5.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
1561
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1957
15.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
1280
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5573
7.16 IPS |
|
|
Style Transfer (HP)
|
100% |
8528
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
4482
5.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
782
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.9 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.1 IPS |
|
|
Text Classification (Q)
|
97% |
268
359.5 IPS |
|
|
Machine Translation (SP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.22 IPS |
|
|
Machine Translation (Q)
|
60% |
198
4.41 IPS |
