HP OMEN by HP Laptop 15-dh0xxx
Geekbench AI Score
8749
Single Precision Score
15530
Half Precision Score
6306
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wolfe |
| Upload Date | August 16 2024 08:32 PM |
| Views | 8 |
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% |
3802
707.0 IPS |
|
|
Image Classification (HP)
|
100% |
6711
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
2792
519.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6324
102.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9039
146.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5449
88.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
38286
44.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
119834
139.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
33854
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
4202
333.3 IPS |
|
|
Object Detection (HP)
|
100% |
7721
612.4 IPS |
|
|
Object Detection (Q)
|
89% |
3661
293.1 IPS |
|
|
Face Detection (SP)
|
100% |
10182
121.0 IPS |
|
|
Face Detection (HP)
|
100% |
16126
191.6 IPS |
|
|
Face Detection (Q)
|
97% |
8047
95.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21245
163.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
42158
324.8 IPS |
|
|
Depth Estimation (Q)
|
70% |
14816
124.8 IPS |
|
|
Style Transfer (SP)
|
100% |
69314
89.1 IPS |
|
|
Style Transfer (HP)
|
100% |
174031
223.7 IPS |
|
|
Style Transfer (Q)
|
98% |
59693
77.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13119
484.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23519
868.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8620
319.2 IPS |
|
|
Text Classification (SP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (HP)
|
99% |
2287
3.05 KIPS |
|
|
Text Classification (Q)
|
97% |
911
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (Q)
|
60% |
945
21.1 IPS |
