HP HP EliteBook 1040 14 inch G11 Notebook PC
Geekbench AI Score
2531
Single Precision Score
670
Half Precision Score
3454
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 10:35 AM |
| Views | 2 |
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% |
1518
282.3 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.8 IPS |
|
|
Image Classification (Q)
|
99% |
2923
545.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1185
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
2208
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4450
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3347
3.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
16308
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
88% |
1583
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
97% |
3589
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5246
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
871
6.71 IPS |
|
|
Depth Estimation (Q)
|
76% |
7223
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10776
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7730
9.94 IPS |
|
|
Style Transfer (Q)
|
98% |
17955
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3459
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
1409
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
470
627.3 IPS |
|
|
Text Classification (Q)
|
97% |
505
676.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
578
9.96 IPS |
|
|
Machine Translation (Q)
|
60% |
1785
39.8 IPS |
