HP HP EliteBook 840 14 inch G10 Notebook PC
Geekbench ML Score
2672
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2023 07:26 PM |
| Views | 3 |
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 | Balanced |
| 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% |
1401
262.2 IPS |
|
|
Image Classification (F16)
|
100% |
1348
252.3 IPS |
|
|
Image Classification (I8)
|
99% |
2381
445.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1209
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1451
24.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1192
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4518
5.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
3921
4.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
12671
15.3 IPS |
|
|
Object Detection (F32)
|
100% |
1422
106.2 IPS |
|
|
Object Detection (F16)
|
100% |
1545
115.3 IPS |
|
|
Object Detection (I8)
|
62% |
1455
108.6 IPS |
|
|
Face Detection (F32)
|
100% |
3341
39.7 IPS |
|
|
Face Detection (F16)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (I8)
|
89% |
3744
44.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5736
44.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6075
47.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
10737
83.3 IPS |
|
|
Style Transfer (F32)
|
100% |
10510
13.8 IPS |
|
|
Style Transfer (F16)
|
100% |
10944
14.4 IPS |
|
|
Style Transfer (I8)
|
98% |
19536
25.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2000
71.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1542
55.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3788
135.3 IPS |
|
|
Text Classification (F32)
|
100% |
1192
1.71 KIPS |
|
|
Text Classification (F16)
|
100% |
1146
1.65 KIPS |
|
|
Text Classification (I8)
|
98% |
408
586.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1498
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1357
25.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2093
38.5 IPS |
