HP OMEN by HP Laptop 15-dh0xxx
Geekbench AI Score
1844
Single Precision Score
485
Half Precision Score
2042
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wolfe |
| Upload Date | August 30 2024 06:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | HP OMEN by HP Laptop 15-dh0xxx |
| Motherboard | HP 8600 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1159
215.5 IPS |
|
|
Image Classification (HP)
|
100% |
90
16.8 IPS |
|
|
Image Classification (Q)
|
97% |
1810
337.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
1273
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2734
3.19 IPS |
|
|
Pose Estimation (Q)
|
87% |
6680
7.89 IPS |
|
|
Object Detection (SP)
|
100% |
1163
92.2 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (Q)
|
86% |
1178
94.7 IPS |
|
|
Face Detection (SP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
184
2.18 IPS |
|
|
Face Detection (Q)
|
96% |
2540
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3520
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
573
4.42 IPS |
|
|
Depth Estimation (Q)
|
76% |
3685
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8604
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6178
7.94 IPS |
|
|
Style Transfer (Q)
|
87% |
9952
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1449
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1142
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1913
70.9 IPS |
|
|
Text Classification (SP)
|
100% |
1238
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
487
649.4 IPS |
|
|
Text Classification (Q)
|
97% |
312
418.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.50 IPS |
|
|
Machine Translation (Q)
|
60% |
1254
28.0 IPS |
