HP OMEN by HP Laptop 15-dh0xxx
Geekbench AI Score
9102
Single Precision Score
16384
Half Precision Score
6434
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wolfe |
| Upload Date | August 30 2024 06:44 PM |
| Views | 4 |
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% |
3657
680.1 IPS |
|
|
Image Classification (HP)
|
100% |
7473
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
3164
588.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6351
103.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9248
149.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5519
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39619
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
115650
134.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
34924
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
4608
365.5 IPS |
|
|
Object Detection (HP)
|
100% |
8520
675.8 IPS |
|
|
Object Detection (Q)
|
89% |
3726
298.2 IPS |
|
|
Face Detection (SP)
|
100% |
10500
124.8 IPS |
|
|
Face Detection (HP)
|
100% |
16681
198.2 IPS |
|
|
Face Detection (Q)
|
97% |
8526
101.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22206
171.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48107
370.6 IPS |
|
|
Depth Estimation (Q)
|
70% |
15795
133.1 IPS |
|
|
Style Transfer (SP)
|
100% |
76301
98.1 IPS |
|
|
Style Transfer (HP)
|
100% |
188885
242.8 IPS |
|
|
Style Transfer (Q)
|
98% |
62200
80.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14436
533.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24001
886.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8584
317.9 IPS |
|
|
Text Classification (SP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (HP)
|
99% |
2529
3.38 KIPS |
|
|
Text Classification (Q)
|
97% |
781
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2226
38.3 IPS |
|
|
Machine Translation (Q)
|
60% |
954
21.3 IPS |
