HP HP EliteBook 840 14 inch G10 Notebook PC
Geekbench ML Score
2660
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2023 07:51 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 14 inch G10 Notebook PC |
| Motherboard | HP 8B41 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1370P |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1610
301.2 IPS |
|
|
Image Classification (F16)
|
100% |
1590
297.5 IPS |
|
|
Image Classification (I8)
|
99% |
2808
525.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1548
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1536
25.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2197
36.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2517
3.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
4848
5.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
16134
19.5 IPS |
|
|
Object Detection (F32)
|
100% |
1560
116.5 IPS |
|
|
Object Detection (F16)
|
100% |
1551
115.8 IPS |
|
|
Object Detection (I8)
|
62% |
1546
115.4 IPS |
|
|
Face Detection (F32)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (F16)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (I8)
|
89% |
3084
36.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4583
35.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4560
35.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
9708
75.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9443
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
7836
10.3 IPS |
|
|
Style Transfer (I8)
|
98% |
18363
24.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2150
76.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2021
72.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3819
136.4 IPS |
|
|
Text Classification (F32)
|
100% |
1195
1.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1188
1.71 KIPS |
|
|
Text Classification (I8)
|
98% |
375
538.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1351
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1328
24.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1698
31.2 IPS |
