HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2590
Single Precision Score
2581
Half Precision Score
6424
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 12:53 AM |
| Views | 4 |
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% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
1320
245.4 IPS |
|
|
Image Classification (Q)
|
100% |
4195
780.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4099
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3513
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3414
3.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
12185
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1386
110.0 IPS |
|
|
Object Detection (HP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (Q)
|
88% |
3959
317.4 IPS |
|
|
Face Detection (SP)
|
100% |
3937
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
8596
102.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3755
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4085
31.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
9997
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10057
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10016
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34641
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1851
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1802
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6589
244.0 IPS |
|
|
Text Classification (SP)
|
100% |
1678
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
3170
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2350
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2322
40.0 IPS |
