HP HP EliteBook 840 14 inch G11 Notebook PC
Geekbench AI Score
1823
Single Precision Score
4307
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 | 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% |
647
120.4 IPS |
|
|
Image Classification (HP)
|
100% |
2824
525.1 IPS |
|
|
Image Classification (Q)
|
100% |
588
109.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
797
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4578
74.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
710
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7194
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
10522
12.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
6423
7.52 IPS |
|
|
Object Detection (SP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (HP)
|
99% |
2824
224.6 IPS |
|
|
Object Detection (Q)
|
89% |
541
43.3 IPS |
|
|
Face Detection (SP)
|
100% |
938
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
4741
56.3 IPS |
|
|
Face Detection (Q)
|
97% |
831
9.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
3661
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12232
94.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
2996
24.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21275
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31207
40.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17077
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3439
127.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4964
183.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2504
92.7 IPS |
|
|
Text Classification (SP)
|
86% |
706
954.2 IPS |
|
|
Text Classification (HP)
|
99% |
669
892.9 IPS |
|
|
Text Classification (Q)
|
83% |
509
692.9 IPS |
|
|
Machine Translation (SP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
60% |
440
9.81 IPS |
