HP OMEN by HP Laptop 17-cb1xxx
Geekbench AI Score
10073
Single Precision Score
17250
Half Precision Score
7165
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 10 2025 11:41 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN by HP Laptop 17-cb1xxx |
| Motherboard | HP 8748 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4450
827.6 IPS |
|
|
Image Classification (HP)
|
100% |
7431
1.38 KIPS |
|
|
Image Classification (Q)
|
99% |
3529
658.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6577
106.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9120
147.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5481
89.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
47642
55.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
136717
159.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
41027
48.1 IPS |
|
|
Object Detection (SP)
|
100% |
4980
395.0 IPS |
|
|
Object Detection (HP)
|
100% |
9338
740.7 IPS |
|
|
Object Detection (Q)
|
84% |
4055
327.0 IPS |
|
|
Face Detection (SP)
|
100% |
11537
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
18866
224.2 IPS |
|
|
Face Detection (Q)
|
97% |
9480
113.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24892
191.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48828
376.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
18044
144.1 IPS |
|
|
Style Transfer (SP)
|
100% |
91554
117.7 IPS |
|
|
Style Transfer (HP)
|
100% |
200894
258.3 IPS |
|
|
Style Transfer (Q)
|
98% |
69666
89.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14629
540.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26231
968.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9180
339.9 IPS |
|
|
Text Classification (SP)
|
100% |
1741
2.32 KIPS |
|
|
Text Classification (HP)
|
99% |
2449
3.27 KIPS |
|
|
Text Classification (Q)
|
97% |
928
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1093
20.5 IPS |
