HP OMEN by HP Laptop 15-dh0xxx
Geekbench AI Score
8822
Single Precision Score
15377
Half Precision Score
6268
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wolfe |
| Upload Date | August 16 2024 09:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| 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% |
4124
766.9 IPS |
|
|
Image Classification (HP)
|
100% |
6597
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
2917
542.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6324
102.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9086
147.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5554
90.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
38683
45.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
116125
135.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
36451
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
4696
372.5 IPS |
|
|
Object Detection (HP)
|
100% |
8253
654.6 IPS |
|
|
Object Detection (Q)
|
89% |
3566
285.5 IPS |
|
|
Face Detection (SP)
|
100% |
10281
122.2 IPS |
|
|
Face Detection (HP)
|
100% |
16454
195.5 IPS |
|
|
Face Detection (Q)
|
97% |
8286
98.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20991
161.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
39046
300.8 IPS |
|
|
Depth Estimation (Q)
|
70% |
14958
126.0 IPS |
|
|
Style Transfer (SP)
|
100% |
69152
88.9 IPS |
|
|
Style Transfer (HP)
|
100% |
182616
234.8 IPS |
|
|
Style Transfer (Q)
|
98% |
59106
76.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13203
487.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23624
872.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8106
300.1 IPS |
|
|
Text Classification (SP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2115
2.82 KIPS |
|
|
Text Classification (Q)
|
97% |
789
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (Q)
|
60% |
950
21.2 IPS |
