HP HP EliteBook 1040 14 inch G11 Notebook PC
Geekbench AI Score
3323
Single Precision Score
7034
Half Precision Score
2535
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 10:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1341
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
4305
800.7 IPS |
|
|
Image Classification (Q)
|
100% |
1177
218.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1674
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7599
123.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14225
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18751
21.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
12311
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (HP)
|
99% |
4750
377.8 IPS |
|
|
Object Detection (Q)
|
89% |
1158
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
7871
93.5 IPS |
|
|
Face Detection (Q)
|
97% |
1218
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7444
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19811
153.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
6051
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43487
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
63731
81.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32600
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7107
262.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9755
360.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4745
175.7 IPS |
|
|
Text Classification (SP)
|
86% |
803
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
711
948.9 IPS |
|
|
Text Classification (Q)
|
83% |
607
826.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1563
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1477
25.4 IPS |
|
|
Machine Translation (Q)
|
60% |
648
14.5 IPS |
