Hewlett-Packard HP EliteBook 840 G2
Geekbench AI Score
658
Single Precision Score
383
Half Precision Score
726
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 29 2024 06:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-5300U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP EliteBook 840 G2 |
| Motherboard | Hewlett-Packard 2216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-5300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.3 IPS |
|
|
Image Classification (Q)
|
96% |
517
96.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (Q)
|
97% |
465
7.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
885
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (Q)
|
86% |
1113
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
58% |
373
40.8 IPS |
|
|
Face Detection (SP)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
428
5.08 IPS |
|
|
Face Detection (Q)
|
96% |
1227
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1142
8.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
558
4.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
1144
9.13 IPS |
|
|
Style Transfer (SP)
|
100% |
2257
2.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1819
2.34 IPS |
|
|
Style Transfer (Q)
|
87% |
2333
3.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
400
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
522
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
361
482.3 IPS |
|
|
Text Classification (HP)
|
100% |
234
312.6 IPS |
|
|
Text Classification (Q)
|
97% |
408
546.5 IPS |
|
|
Machine Translation (SP)
|
100% |
576
9.91 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
68% |
589
11.4 IPS |
