HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
2032
Single Precision Score
914
Half Precision Score
3506
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | May 21 2025 07:48 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 640 14 inch G11 Notebook PC |
| Motherboard | HP 8C86 |
| Power Plan | Balanced |
| 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% |
1683
313.0 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.2 IPS |
|
|
Image Classification (Q)
|
99% |
3968
740.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
1905
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3113
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2051
2.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
11259
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
86% |
3015
242.3 IPS |
|
|
Face Detection (SP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
5718
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3942
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1306
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8333
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7439
9.56 IPS |
|
|
Style Transfer (HP)
|
100% |
5209
6.70 IPS |
|
|
Style Transfer (Q)
|
98% |
11770
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1078
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2354
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
1013
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
518
691.5 IPS |
|
|
Text Classification (Q)
|
97% |
459
614.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
519
8.95 IPS |
|
|
Machine Translation (Q)
|
65% |
1807
36.3 IPS |
