HP HP EliteBook 660 16 inch G11 Notebook PC
Geekbench AI Score
2131
Single Precision Score
887
Half Precision Score
4066
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 19 2025 03:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Entreprise (64-bit) |
| Model | HP HP EliteBook 660 16 inch G11 Notebook PC |
| Motherboard | HP 8C87 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1625
302.2 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
99% |
3810
710.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1004
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
592
9.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
2031
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3275
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2470
2.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
12468
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (Q)
|
86% |
3799
305.3 IPS |
|
|
Face Detection (SP)
|
100% |
3779
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
1002
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
5393
64.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4224
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1303
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8647
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8065
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
4925
6.33 IPS |
|
|
Style Transfer (Q)
|
98% |
13458
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1453
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1161
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2414
89.4 IPS |
|
|
Text Classification (SP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
432
576.9 IPS |
|
|
Text Classification (Q)
|
97% |
1063
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.69 IPS |
|
|
Machine Translation (Q)
|
65% |
2096
42.1 IPS |
