HP HP EliteBook 1040 14 inch G11 Notebook PC
Geekbench AI Score
2495
Single Precision Score
682
Half Precision Score
3456
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 10:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1475
274.3 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.8 IPS |
|
|
Image Classification (Q)
|
99% |
2912
543.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
2195
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4451
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3367
3.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
16041
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
88% |
1593
127.7 IPS |
|
|
Face Detection (SP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (Q)
|
97% |
3400
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5205
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
805
6.20 IPS |
|
|
Depth Estimation (Q)
|
76% |
7146
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10846
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7985
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17557
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1982
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3550
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
1324
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
598
798.4 IPS |
|
|
Text Classification (Q)
|
97% |
543
726.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1815
40.5 IPS |
