HP HP EliteBook 1040 14 inch G11 Notebook PC
Geekbench AI Score
2514
Single Precision Score
2465
Half Precision Score
6501
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 12:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 1040 14 inch G11 Notebook PC |
| Motherboard | HP 8C52 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 135H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1413
262.8 IPS |
|
|
Image Classification (HP)
|
100% |
1447
269.1 IPS |
|
|
Image Classification (Q)
|
100% |
3791
705.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3907
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3671
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3336
3.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
13439
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
100% |
1476
117.0 IPS |
|
|
Object Detection (Q)
|
88% |
3963
317.7 IPS |
|
|
Face Detection (SP)
|
100% |
4538
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
4485
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
8713
103.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4041
31.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
3771
29.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
9734
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9983
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11050
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
33069
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2131
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6851
253.7 IPS |
|
|
Text Classification (SP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
696
928.5 IPS |
|
|
Text Classification (Q)
|
92% |
2728
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2161
37.2 IPS |
|
|
Machine Translation (Q)
|
85% |
3265
57.1 IPS |
