Hewlett-Packard HP EliteBook 840 G1
Geekbench AI Score
790
Single Precision Score
786
Half Precision Score
859
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 12:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4200U CPU @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP EliteBook 840 G1 |
| Motherboard | Hewlett-Packard 198F |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
453
84.3 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.9 IPS |
|
|
Image Classification (Q)
|
100% |
505
94.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
574
9.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
897
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
860
1.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
1042
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
439
34.9 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
87% |
516
41.4 IPS |
|
|
Face Detection (SP)
|
100% |
1119
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1132
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
1422
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1190
9.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
1191
9.17 IPS |
|
|
Depth Estimation (Q)
|
81% |
1311
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2722
3.50 IPS |
|
|
Style Transfer (HP)
|
100% |
2712
3.49 IPS |
|
|
Style Transfer (Q)
|
98% |
2983
3.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
633
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
598
798.4 IPS |
|
|
Text Classification (HP)
|
100% |
596
795.8 IPS |
|
|
Text Classification (Q)
|
91% |
451
606.1 IPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
100% |
886
15.3 IPS |
