HP HP Spectre Foldable 17-cs0xxx
Geekbench ML Score
1737
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 19 2024 08:03 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Spectre Foldable 17-cs0xxx |
| Motherboard | HP 8A6E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1250U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
862
161.3 IPS |
|
|
Image Classification (F16)
|
100% |
835
156.3 IPS |
|
|
Image Classification (I8)
|
100% |
639
119.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1320
22.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1346
22.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
967
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8486
10.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
8560
10.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
4014
4.86 IPS |
|
|
Object Detection (F32)
|
100% |
921
68.7 IPS |
|
|
Object Detection (F16)
|
100% |
903
67.4 IPS |
|
|
Object Detection (I8)
|
54% |
771
57.6 IPS |
|
|
Face Detection (F32)
|
100% |
1917
22.8 IPS |
|
|
Face Detection (F16)
|
100% |
1922
22.9 IPS |
|
|
Face Detection (I8)
|
89% |
1298
15.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4090
31.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4081
31.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2856
22.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17009
22.4 IPS |
|
|
Style Transfer (F16)
|
100% |
17287
22.7 IPS |
|
|
Style Transfer (I8)
|
98% |
11069
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2403
85.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2517
89.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1033
36.9 IPS |
|
|
Text Classification (F32)
|
100% |
603
867.3 IPS |
|
|
Text Classification (F16)
|
100% |
581
835.3 IPS |
|
|
Text Classification (I8)
|
98% |
315
452.6 IPS |
|
|
Machine Translation (F32)
|
100% |
759
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
749
13.8 IPS |
|
|
Machine Translation (I8)
|
70% |
366
6.74 IPS |
