HP HP EliteBook 840 14 inch G11 Notebook PC
Geekbench AI Score
2090
Single Precision Score
560
Half Precision Score
2944
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:32 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% |
1237
230.0 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.1 IPS |
|
|
Image Classification (Q)
|
99% |
2427
452.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1930
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3448
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2164
2.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
12159
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (HP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (Q)
|
88% |
1426
114.3 IPS |
|
|
Face Detection (SP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
269
3.20 IPS |
|
|
Face Detection (Q)
|
97% |
3229
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4175
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
719
5.54 IPS |
|
|
Depth Estimation (Q)
|
76% |
6355
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8756
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5518
7.09 IPS |
|
|
Style Transfer (Q)
|
98% |
15245
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1626
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1093
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2622
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
509
679.3 IPS |
|
|
Text Classification (Q)
|
97% |
456
610.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (Q)
|
60% |
1614
36.0 IPS |
