HP HP EliteBook 1040 14 inch G11 Notebook PC
Geekbench AI Score
2530
Single Precision Score
2604
Half Precision Score
6559
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 12:20 PM |
| Views | 1 |
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% |
1433
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
1449
269.5 IPS |
|
|
Image Classification (Q)
|
100% |
3861
718.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4162
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3806
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3702
4.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
12263
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1399
110.9 IPS |
|
|
Object Detection (HP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (Q)
|
88% |
3780
303.0 IPS |
|
|
Face Detection (SP)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
4276
50.8 IPS |
|
|
Face Detection (Q)
|
100% |
8613
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4410
34.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
4508
34.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
9991
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10784
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12495
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
40167
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2008
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2232
82.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7387
273.6 IPS |
|
|
Text Classification (SP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
2323
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2335
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (Q)
|
85% |
3338
58.4 IPS |
