HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2092
Single Precision Score
2107
Half Precision Score
5151
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ruiaf27 |
| Upload Date | February 09 2026 10:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Entreprise (64-bit) |
| Model | HP HP EliteBook 640 14 inch G11 Notebook PC |
| Motherboard | HP 8C86 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
1312
243.9 IPS |
|
|
Image Classification (Q)
|
100% |
3565
663.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4023
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2547
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2418
2.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
9209
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1080
85.7 IPS |
|
|
Object Detection (HP)
|
100% |
1178
93.4 IPS |
|
|
Object Detection (Q)
|
88% |
3193
256.0 IPS |
|
|
Face Detection (SP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (Q)
|
100% |
8345
99.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3254
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3223
24.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
8362
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7633
9.81 IPS |
|
|
Style Transfer (HP)
|
100% |
7666
9.86 IPS |
|
|
Style Transfer (Q)
|
98% |
25657
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1367
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4516
167.2 IPS |
|
|
Text Classification (SP)
|
100% |
1096
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (Q)
|
92% |
2240
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1723
29.7 IPS |
