HP HP EliteBook 840 14 inch G9 Notebook PC
Geekbench AI Score
2242
Single Precision Score
2264
Half Precision Score
1429
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | March 24 2025 11:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 14 inch G9 Notebook PC |
| Motherboard | HP 8ABB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1245U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
970
180.3 IPS |
|
|
Image Classification (HP)
|
100% |
982
182.7 IPS |
|
|
Image Classification (Q)
|
100% |
840
156.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1043
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7923
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
9311
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
4413
5.17 IPS |
|
|
Object Detection (SP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (HP)
|
98% |
974
77.5 IPS |
|
|
Object Detection (Q)
|
86% |
931
74.8 IPS |
|
|
Face Detection (SP)
|
100% |
2029
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (Q)
|
97% |
1499
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4379
33.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4937
38.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3096
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18057
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23510
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11539
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2558
94.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3428
126.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1149
42.5 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.1 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.9 IPS |
|
|
Text Classification (Q)
|
97% |
397
532.0 IPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
70% |
404
7.58 IPS |
