HP HP EliteBook 840 G5
Geekbench AI Score
1850
Single Precision Score
1817
Half Precision Score
3069
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | airwalker |
| Upload Date | August 22 2024 06:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 G5 |
| Motherboard | HP 83B2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8650U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1278
237.7 IPS |
|
|
Image Classification (HP)
|
100% |
1287
239.4 IPS |
|
|
Image Classification (Q)
|
100% |
2126
395.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1925
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2392
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1895
2.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
4018
4.71 IPS |
|
|
Object Detection (SP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (HP)
|
100% |
1157
91.8 IPS |
|
|
Object Detection (Q)
|
87% |
2058
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
1968
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
2016
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
5205
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2899
22.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
2871
22.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
5164
41.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6331
8.14 IPS |
|
|
Style Transfer (HP)
|
100% |
6320
8.12 IPS |
|
|
Style Transfer (Q)
|
98% |
13536
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2792
103.4 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (Q)
|
91% |
1190
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1765
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1785
30.7 IPS |
|
|
Machine Translation (Q)
|
90% |
1816
31.5 IPS |
