HP HP EliteBook 840 G6
Geekbench ML Score
1030
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 19 2024 04:28 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 G6 |
| Motherboard | HP 8549 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8365U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
402
75.1 IPS |
|
|
Image Classification (F16)
|
100% |
389
72.8 IPS |
|
|
Image Classification (I8)
|
97% |
585
109.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
333
5.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
324
5.42 IPS |
|
|
Image Segmentation (I8)
|
97% |
461
7.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
1065
1.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
1079
1.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
2831
3.43 IPS |
|
|
Object Detection (F32)
|
100% |
676
50.5 IPS |
|
|
Object Detection (F16)
|
100% |
707
52.8 IPS |
|
|
Object Detection (I8)
|
60% |
591
44.1 IPS |
|
|
Face Detection (F32)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (F16)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (I8)
|
87% |
1785
21.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2279
17.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1952
15.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
3935
30.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4350
5.72 IPS |
|
|
Style Transfer (F16)
|
100% |
3879
5.10 IPS |
|
|
Style Transfer (I8)
|
85% |
6155
8.10 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
967
34.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
991
35.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1403
50.1 IPS |
|
|
Text Classification (F32)
|
100% |
659
946.7 IPS |
|
|
Text Classification (F16)
|
100% |
748
1.08 KIPS |
|
|
Text Classification (I8)
|
94% |
244
351.0 IPS |
|
|
Machine Translation (F32)
|
100% |
981
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
885
16.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1039
19.1 IPS |
