HP HP Laptop 15-dy1xxx
Geekbench AI Score
842
Single Precision Score
916
Half Precision Score
637
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 02:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15-dy1xxx |
| Motherboard | HP 86C9 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G1 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (Q)
|
99% |
286
53.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
469
7.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
598
9.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
403
6.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2766
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4010
4.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
2386
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (HP)
|
98% |
309
24.6 IPS |
|
|
Object Detection (Q)
|
89% |
297
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
674
8.01 IPS |
|
|
Face Detection (HP)
|
100% |
821
9.76 IPS |
|
|
Face Detection (Q)
|
97% |
561
6.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1602
12.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
1936
15.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
1290
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6941
8.92 IPS |
|
|
Style Transfer (HP)
|
100% |
9860
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
5494
7.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1256
46.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
884
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
274
365.7 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.7 IPS |
|
|
Text Classification (Q)
|
97% |
185
247.7 IPS |
|
|
Machine Translation (SP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
60% |
209
4.66 IPS |
