HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2504
Single Precision Score
2484
Half Precision Score
5972
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 09:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
1322
245.8 IPS |
|
|
Image Classification (Q)
|
100% |
4102
762.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4083
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3270
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2823
3.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
10513
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (Q)
|
88% |
3987
319.6 IPS |
|
|
Face Detection (SP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
8625
102.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3998
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4034
31.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
10030
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8877
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9637
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29168
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5345
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
1580
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1586
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
2804
3.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2333
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2175
37.5 IPS |
