HP HP EliteBook 840 14 inch G11 Notebook PC
Geekbench AI Score
2099
Single Precision Score
546
Half Precision Score
2932
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| 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% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
99% |
1944
362.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1100
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
1820
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3305
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2181
2.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
12319
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1334
105.9 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
88% |
1290
103.4 IPS |
|
|
Face Detection (SP)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
259
3.08 IPS |
|
|
Face Detection (Q)
|
97% |
3349
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4234
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
713
5.50 IPS |
|
|
Depth Estimation (Q)
|
76% |
6493
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8804
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5531
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
15181
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1082
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3002
111.2 IPS |
|
|
Text Classification (SP)
|
100% |
1215
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
434
579.0 IPS |
|
|
Text Classification (Q)
|
97% |
496
664.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (Q)
|
60% |
1701
37.9 IPS |
