HP OMEN by HP Laptop 15-dh0xxx
Geekbench AI Score
1765
Single Precision Score
472
Half Precision Score
2014
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wolfe |
| Upload Date | August 16 2024 08:37 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% |
1143
212.6 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (Q)
|
97% |
1746
325.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
915
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
1261
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3102
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2614
3.05 IPS |
|
|
Pose Estimation (Q)
|
87% |
6548
7.73 IPS |
|
|
Object Detection (SP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.93 IPS |
|
|
Object Detection (Q)
|
86% |
1143
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1513
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
184
2.18 IPS |
|
|
Face Detection (Q)
|
96% |
2560
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3360
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
575
4.43 IPS |
|
|
Depth Estimation (Q)
|
76% |
3630
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7824
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5908
7.59 IPS |
|
|
Style Transfer (Q)
|
87% |
9738
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1890
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
1085
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
442
590.3 IPS |
|
|
Text Classification (Q)
|
97% |
318
425.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (Q)
|
60% |
1226
27.3 IPS |
