HP HP EliteBook 830 G6
Geekbench AI Score
1009
Single Precision Score
495
Half Precision Score
1376
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 05:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8665U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP EliteBook 830 G6 |
| Motherboard | HP 854A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8665U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.1 IPS |
|
|
Image Classification (Q)
|
96% |
886
165.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
567
9.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
1162
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
939
1.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
3383
4.00 IPS |
|
|
Object Detection (SP)
|
100% |
765
60.7 IPS |
|
|
Object Detection (HP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (Q)
|
58% |
939
102.6 IPS |
|
|
Face Detection (SP)
|
100% |
1367
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
536
6.37 IPS |
|
|
Face Detection (Q)
|
96% |
2665
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1874
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
685
5.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
3229
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4026
5.18 IPS |
|
|
Style Transfer (HP)
|
100% |
2946
3.79 IPS |
|
|
Style Transfer (Q)
|
87% |
5020
6.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
723
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1210
44.8 IPS |
|
|
Text Classification (SP)
|
100% |
858
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.7 IPS |
|
|
Text Classification (Q)
|
97% |
323
432.4 IPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (Q)
|
68% |
904
17.5 IPS |
