HP HP EliteBook 660 16 inch G11 Notebook PC
Geekbench AI Score
1962
Single Precision Score
1986
Half Precision Score
4457
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 12:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 660 16 inch G11 Notebook PC |
| Motherboard | HP 8C87 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1106
205.6 IPS |
|
|
Image Classification (HP)
|
100% |
1139
211.9 IPS |
|
|
Image Classification (Q)
|
100% |
2206
410.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3261
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3175
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2992
3.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
10910
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1158
91.8 IPS |
|
|
Object Detection (HP)
|
100% |
1170
92.8 IPS |
|
|
Object Detection (Q)
|
88% |
2215
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
2786
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (Q)
|
100% |
5944
70.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3090
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3061
23.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
7612
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8069
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8061
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27489
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4434
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (Q)
|
92% |
2143
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1507
26.0 IPS |
