HP HP EliteBook 840 14 inch G10 Notebook PC
Geekbench AI Score
2216
Single Precision Score
2192
Half Precision Score
4881
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 09:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-1365U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 14 inch G10 Notebook PC |
| Motherboard | HP 8B41 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1365U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1241
230.8 IPS |
|
|
Image Classification (HP)
|
100% |
1247
231.9 IPS |
|
|
Image Classification (Q)
|
100% |
3091
574.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3478
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3274
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3131
3.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
9051
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (Q)
|
88% |
2635
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3650
43.4 IPS |
|
|
Face Detection (Q)
|
100% |
7524
89.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3056
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2886
22.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
6595
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6306
8.11 IPS |
|
|
Style Transfer (HP)
|
100% |
6338
8.15 IPS |
|
|
Style Transfer (Q)
|
98% |
25340
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4307
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
1504
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1658
2.21 KIPS |
|
|
Text Classification (Q)
|
92% |
2772
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1753
30.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1998
34.4 IPS |
