HP OMEN by HP Laptop 17-cb0xxx
Geekbench AI Score
12621
Single Precision Score
20412
Half Precision Score
8652
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | francob |
| Upload Date | October 17 2024 08:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP OMEN by HP Laptop 17-cb0xxx |
| Motherboard | HP 8603 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9880H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5282
982.3 IPS |
|
|
Image Classification (HP)
|
100% |
7179
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
4132
768.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8129
131.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10669
173.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6685
108.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
70754
82.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
200037
233.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
60303
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
6487
514.6 IPS |
|
|
Object Detection (HP)
|
100% |
10815
857.8 IPS |
|
|
Object Detection (Q)
|
89% |
4542
363.6 IPS |
|
|
Face Detection (SP)
|
100% |
14285
169.7 IPS |
|
|
Face Detection (HP)
|
100% |
20469
243.2 IPS |
|
|
Face Detection (Q)
|
97% |
11570
138.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
35683
274.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
59184
456.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
22659
182.5 IPS |
|
|
Style Transfer (SP)
|
100% |
131896
169.6 IPS |
|
|
Style Transfer (HP)
|
100% |
293451
377.2 IPS |
|
|
Style Transfer (Q)
|
98% |
105769
136.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23646
873.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29687
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13454
498.2 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2718
3.63 KIPS |
|
|
Text Classification (Q)
|
97% |
811
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2395
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2642
45.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1028
22.9 IPS |
