HP HP EliteBook 840 G6
Geekbench ML Score
1162
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 19 2024 04:38 AM |
| Views | 2 |
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% |
675
126.4 IPS |
|
|
Image Classification (F16)
|
100% |
690
129.1 IPS |
|
|
Image Classification (I8)
|
97% |
1067
199.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
531
8.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
475
7.93 IPS |
|
|
Image Segmentation (I8)
|
97% |
787
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1604
1.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
1539
1.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
3961
4.80 IPS |
|
|
Object Detection (F32)
|
100% |
598
44.6 IPS |
|
|
Object Detection (F16)
|
100% |
590
44.1 IPS |
|
|
Object Detection (I8)
|
60% |
662
49.4 IPS |
|
|
Face Detection (F32)
|
100% |
1097
13.0 IPS |
|
|
Face Detection (F16)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (I8)
|
87% |
1652
19.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1782
13.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1948
15.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
3156
24.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4315
5.68 IPS |
|
|
Style Transfer (F16)
|
100% |
4493
5.91 IPS |
|
|
Style Transfer (I8)
|
85% |
5977
7.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
932
33.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1033
36.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1496
53.4 IPS |
|
|
Text Classification (F32)
|
100% |
761
1.09 KIPS |
|
|
Text Classification (F16)
|
100% |
747
1.07 KIPS |
|
|
Text Classification (I8)
|
94% |
235
337.4 IPS |
|
|
Machine Translation (F32)
|
100% |
918
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
894
16.5 IPS |
|
|
Machine Translation (I8)
|
67% |
995
18.3 IPS |
