HP HP EliteBook 840 G8 Notebook PC- ONNX/DirectML - Run 3 HP HP EliteBook 840 G8 Notebook PC
Geekbench AI Score
2079
Single Precision Score
2276
Half Precision Score
1324
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 11:37 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% |
838
155.8 IPS |
|
|
Image Classification (HP)
|
100% |
949
176.4 IPS |
|
|
Image Classification (Q)
|
100% |
782
145.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1459
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
876
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7458
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
9466
11.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
4366
5.11 IPS |
|
|
Object Detection (SP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (HP)
|
98% |
985
78.4 IPS |
|
|
Object Detection (Q)
|
86% |
901
72.5 IPS |
|
|
Face Detection (SP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
2472
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
1238
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4304
33.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4987
38.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3028
24.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17686
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23684
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
10501
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2801
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3327
122.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1142
42.3 IPS |
|
|
Text Classification (SP)
|
100% |
632
843.7 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.0 IPS |
|
|
Text Classification (Q)
|
97% |
364
488.0 IPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
70% |
378
7.08 IPS |
