HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
5221
Single Precision Score
8391
Half Precision Score
12501
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ruiaf27 |
| Upload Date | February 09 2026 10:05 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3568
663.6 IPS |
|
|
Image Classification (HP)
|
100% |
5370
998.6 IPS |
|
|
Image Classification (Q)
|
100% |
7435
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3702
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8205
133.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10678
173.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10987
12.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
10413
12.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
35216
41.2 IPS |
|
|
Object Detection (SP)
|
100% |
3014
239.1 IPS |
|
|
Object Detection (HP)
|
100% |
5206
413.0 IPS |
|
|
Object Detection (Q)
|
88% |
7566
606.3 IPS |
|
|
Face Detection (SP)
|
100% |
6669
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
14101
167.6 IPS |
|
|
Face Detection (Q)
|
100% |
19464
231.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11212
86.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
19345
149.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
24609
191.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27146
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37526
48.2 IPS |
|
|
Style Transfer (Q)
|
98% |
87923
113.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5071
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9029
333.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14357
531.7 IPS |
|
|
Text Classification (SP)
|
71% |
1461
2.11 KIPS |
|
|
Text Classification (HP)
|
71% |
2376
3.44 KIPS |
|
|
Text Classification (Q)
|
92% |
2320
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3299
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3143
54.3 IPS |
