HP HP EliteBook 640 14 inch G11 Notebook PC
Geekbench AI Score
1875
Single Precision Score
862
Half Precision Score
1484
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:52 AM |
| Views | 1 |
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% |
661
122.9 IPS |
|
|
Image Classification (HP)
|
0% |
0
537.4 IPS |
|
|
Image Classification (Q)
|
100% |
626
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4648
75.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7420
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
11582
13.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
6590
7.72 IPS |
|
|
Object Detection (SP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (HP)
|
0% |
0
218.0 IPS |
|
|
Object Detection (Q)
|
89% |
593
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
981
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
4544
54.0 IPS |
|
|
Face Detection (Q)
|
97% |
869
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3764
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12202
94.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
3053
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20942
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32045
41.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16829
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2767
102.5 IPS |
|
|
Text Classification (SP)
|
86% |
702
949.6 IPS |
|
|
Text Classification (HP)
|
99% |
509
679.6 IPS |
|
|
Text Classification (Q)
|
83% |
491
668.5 IPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (Q)
|
60% |
465
10.4 IPS |
