HP OMEN by HP Laptop 15-dh0xxx
Geekbench AI Score
9082
Single Precision Score
15248
Half Precision Score
6371
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Wolfe |
| Upload Date | September 10 2024 07:14 PM |
| Views | 7 |
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% |
3695
687.1 IPS |
|
|
Image Classification (HP)
|
100% |
5484
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
2871
534.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6567
106.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8718
141.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5648
91.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
43137
50.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122447
142.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
37460
43.9 IPS |
|
|
Object Detection (SP)
|
100% |
4478
355.2 IPS |
|
|
Object Detection (HP)
|
100% |
7242
574.5 IPS |
|
|
Object Detection (Q)
|
89% |
3443
275.6 IPS |
|
|
Face Detection (SP)
|
100% |
10821
128.6 IPS |
|
|
Face Detection (HP)
|
100% |
16534
196.5 IPS |
|
|
Face Detection (Q)
|
97% |
8358
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23448
180.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
42960
331.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
15943
128.3 IPS |
|
|
Style Transfer (SP)
|
100% |
72012
92.6 IPS |
|
|
Style Transfer (HP)
|
100% |
200910
258.3 IPS |
|
|
Style Transfer (Q)
|
98% |
60701
78.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13991
516.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21433
791.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8605
318.6 IPS |
|
|
Text Classification (SP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (HP)
|
99% |
2336
3.12 KIPS |
|
|
Text Classification (Q)
|
97% |
771
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2260
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2244
38.6 IPS |
|
|
Machine Translation (Q)
|
60% |
982
21.9 IPS |
