HP HP EliteBook 840 14 inch G11 Notebook PC
Geekbench AI Score
1880
Single Precision Score
4320
Half Precision Score
1474
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 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% |
649
120.8 IPS |
|
|
Image Classification (HP)
|
100% |
2904
540.1 IPS |
|
|
Image Classification (Q)
|
100% |
591
110.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4627
75.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
765
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7269
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
10393
12.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
6474
7.58 IPS |
|
|
Object Detection (SP)
|
100% |
670
53.2 IPS |
|
|
Object Detection (HP)
|
99% |
2778
221.0 IPS |
|
|
Object Detection (Q)
|
89% |
593
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
4704
55.9 IPS |
|
|
Face Detection (Q)
|
97% |
903
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3766
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12299
95.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
3096
25.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21289
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32432
41.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17248
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3591
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5089
187.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2606
96.5 IPS |
|
|
Text Classification (SP)
|
86% |
713
963.8 IPS |
|
|
Text Classification (HP)
|
99% |
653
871.6 IPS |
|
|
Text Classification (Q)
|
83% |
500
681.0 IPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
60% |
445
9.93 IPS |
