HP OMEN by HP Laptop 17-cb0xxx
Geekbench AI Score
1739
Single Precision Score
760
Half Precision Score
1942
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | francob |
| Upload Date | October 17 2024 08:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| 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% |
1120
208.3 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.3 IPS |
|
|
Image Classification (Q)
|
96% |
1795
335.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
1188
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2617
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2207
2.57 IPS |
|
|
Pose Estimation (Q)
|
87% |
5822
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
1229
97.5 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
86% |
1048
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
1704
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
803
9.54 IPS |
|
|
Face Detection (Q)
|
96% |
2547
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3713
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1042
8.03 IPS |
|
|
Depth Estimation (Q)
|
77% |
3591
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7409
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
5227
6.72 IPS |
|
|
Style Transfer (Q)
|
87% |
10068
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1380
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1792
66.4 IPS |
|
|
Text Classification (SP)
|
100% |
1037
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
401
535.4 IPS |
|
|
Text Classification (Q)
|
97% |
310
414.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (Q)
|
60% |
1150
25.7 IPS |
