HP HP EliteBook 840 14 inch G11 Notebook PC
Geekbench AI Score
1832
Single Precision Score
4273
Half Precision Score
1420
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:12 PM |
| 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% |
657
122.2 IPS |
|
|
Image Classification (HP)
|
100% |
2903
539.9 IPS |
|
|
Image Classification (Q)
|
100% |
571
106.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4584
74.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
707
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7164
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
10860
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
6391
7.48 IPS |
|
|
Object Detection (SP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (HP)
|
99% |
2762
219.7 IPS |
|
|
Object Detection (Q)
|
89% |
535
42.8 IPS |
|
|
Face Detection (SP)
|
100% |
943
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
4622
54.9 IPS |
|
|
Face Detection (Q)
|
97% |
836
9.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
3663
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12166
94.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
2981
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21152
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29708
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17087
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3532
130.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5076
187.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2627
97.3 IPS |
|
|
Text Classification (SP)
|
86% |
710
959.9 IPS |
|
|
Text Classification (HP)
|
99% |
637
850.9 IPS |
|
|
Text Classification (Q)
|
83% |
491
668.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
60% |
441
9.84 IPS |
