HP HP EliteBook 1040 14 inch G11 Notebook PC
Geekbench AI Score
3309
Single Precision Score
7024
Half Precision Score
2506
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 11:02 AM |
| Views | 1 |
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% |
1332
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
4319
803.2 IPS |
|
|
Image Classification (Q)
|
100% |
1141
212.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7569
122.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1465
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13760
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18825
22.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
12526
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (HP)
|
99% |
4484
356.7 IPS |
|
|
Object Detection (Q)
|
89% |
1133
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
8514
101.2 IPS |
|
|
Face Detection (Q)
|
97% |
1214
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7438
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19711
152.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
5998
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43041
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63602
81.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33033
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7072
261.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9636
355.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4646
172.1 IPS |
|
|
Text Classification (SP)
|
86% |
816
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
710
947.2 IPS |
|
|
Text Classification (Q)
|
83% |
575
782.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (Q)
|
60% |
641
14.3 IPS |
