HP HP EliteBook 840 14 inch G11 Notebook PC
Geekbench AI Score
1886
Single Precision Score
4331
Half Precision Score
1484
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 11:02 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 840 14 inch G11 Notebook PC |
| Motherboard | HP 8C26 |
| 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% |
658
122.5 IPS |
|
|
Image Classification (HP)
|
100% |
2866
532.9 IPS |
|
|
Image Classification (Q)
|
100% |
630
117.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4618
74.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7237
8.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
10449
12.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
6479
7.59 IPS |
|
|
Object Detection (SP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (HP)
|
99% |
2783
221.4 IPS |
|
|
Object Detection (Q)
|
89% |
599
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
4632
55.0 IPS |
|
|
Face Detection (Q)
|
97% |
904
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3783
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12655
97.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
3066
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21032
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31490
40.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17304
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3539
130.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4933
182.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2597
96.2 IPS |
|
|
Text Classification (SP)
|
86% |
724
979.2 IPS |
|
|
Text Classification (HP)
|
99% |
668
891.0 IPS |
|
|
Text Classification (Q)
|
83% |
497
677.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (Q)
|
60% |
451
10.1 IPS |
