HP HP EliteBook 840 14 inch G10 Notebook PC
Geekbench ML Score
2582
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2023 07:32 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 | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1203
225.1 IPS |
|
|
Image Classification (F16)
|
100% |
1184
221.5 IPS |
|
|
Image Classification (I8)
|
100% |
961
179.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2007
33.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2038
34.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1516
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
12743
15.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
12566
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
6339
7.68 IPS |
|
|
Object Detection (F32)
|
100% |
1455
108.6 IPS |
|
|
Object Detection (F16)
|
100% |
1443
107.7 IPS |
|
|
Object Detection (I8)
|
54% |
1230
91.8 IPS |
|
|
Face Detection (F32)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (F16)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (I8)
|
89% |
2074
24.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6600
51.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6699
52.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
4683
36.3 IPS |
|
|
Style Transfer (F32)
|
100% |
27602
36.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27790
36.6 IPS |
|
|
Style Transfer (I8)
|
98% |
17347
22.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3905
139.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3757
134.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1589
56.8 IPS |
|
|
Text Classification (F32)
|
100% |
628
903.2 IPS |
|
|
Text Classification (F16)
|
100% |
686
985.7 IPS |
|
|
Text Classification (I8)
|
98% |
405
581.8 IPS |
|
|
Machine Translation (F32)
|
100% |
918
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
919
16.9 IPS |
|
|
Machine Translation (I8)
|
70% |
529
9.74 IPS |
