HP EliteBook 840 G8 Notebook PC - ONNX/DirectML - Run 1 HP HP EliteBook 840 G8 Notebook PC
Geekbench AI Score
2091
Single Precision Score
2309
Half Precision Score
1339
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 11:22 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | HP HP EliteBook 840 G8 Notebook PC |
| Motherboard | HP 880D |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1145G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
848
157.6 IPS |
|
|
Image Classification (HP)
|
100% |
973
180.9 IPS |
|
|
Image Classification (Q)
|
100% |
817
151.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
883
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7355
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
9525
11.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
4361
5.11 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (HP)
|
98% |
984
78.3 IPS |
|
|
Object Detection (Q)
|
86% |
903
72.6 IPS |
|
|
Face Detection (SP)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
2475
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
1240
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4298
33.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4976
38.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3032
24.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17703
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23859
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
10478
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2815
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3403
125.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1147
42.5 IPS |
|
|
Text Classification (SP)
|
100% |
648
865.0 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.4 IPS |
|
|
Text Classification (Q)
|
97% |
380
508.7 IPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
70% |
380
7.12 IPS |
