HP OMEN by HP Laptop 17-cb0xxx
Geekbench AI Score
10388
Single Precision Score
17021
Half Precision Score
7357
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 06:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN by HP Laptop 17-cb0xxx |
| Motherboard | HP 8603 |
| Power Plan | Ausbalanciert |
| 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% |
3954
735.4 IPS |
|
|
Image Classification (HP)
|
100% |
6717
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
2947
548.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7342
119.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9425
152.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6217
101.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
54090
63.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
163776
191.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
47333
55.4 IPS |
|
|
Object Detection (SP)
|
100% |
4976
394.7 IPS |
|
|
Object Detection (HP)
|
100% |
7453
591.2 IPS |
|
|
Object Detection (Q)
|
89% |
4097
328.0 IPS |
|
|
Face Detection (SP)
|
100% |
12410
147.5 IPS |
|
|
Face Detection (HP)
|
100% |
18147
215.6 IPS |
|
|
Face Detection (Q)
|
97% |
9894
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26067
200.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47393
365.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
18466
150.1 IPS |
|
|
Style Transfer (SP)
|
100% |
90152
115.9 IPS |
|
|
Style Transfer (HP)
|
100% |
218891
281.4 IPS |
|
|
Style Transfer (Q)
|
98% |
76299
98.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18415
680.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27353
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11209
415.0 IPS |
|
|
Text Classification (SP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (HP)
|
99% |
2323
3.10 KIPS |
|
|
Text Classification (Q)
|
97% |
887
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2209
38.1 IPS |
|
|
Machine Translation (Q)
|
60% |
944
21.1 IPS |
