HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
1823
Single Precision Score
4337
Half Precision Score
1425
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
652
121.2 IPS |
|
|
Image Classification (HP)
|
100% |
2861
532.0 IPS |
|
|
Image Classification (Q)
|
100% |
590
109.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4676
75.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
701
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7150
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
10514
12.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
6378
7.47 IPS |
|
|
Object Detection (SP)
|
100% |
618
49.1 IPS |
|
|
Object Detection (HP)
|
99% |
2888
229.7 IPS |
|
|
Object Detection (Q)
|
89% |
543
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
937
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
4771
56.7 IPS |
|
|
Face Detection (Q)
|
97% |
823
9.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
3714
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12745
98.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
3014
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21238
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32028
41.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17192
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3559
131.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5142
189.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2565
95.0 IPS |
|
|
Text Classification (SP)
|
86% |
682
922.8 IPS |
|
|
Text Classification (HP)
|
99% |
610
814.1 IPS |
|
|
Text Classification (Q)
|
83% |
496
674.7 IPS |
|
|
Machine Translation (SP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.4 IPS |
|
|
Machine Translation (Q)
|
60% |
447
9.97 IPS |
