HP HP Spectre x360 2-in-1 Laptop 16-aa0xxx
Geekbench ML Score
2947
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 09:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Spectre x360 2-in-1 Laptop 16-aa0xxx |
| Motherboard | HP 8C16 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 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) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1306
244.4 IPS |
|
|
Image Classification (F16)
|
100% |
1336
249.9 IPS |
|
|
Image Classification (I8)
|
100% |
1178
220.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1524
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1479
24.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1371
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
13903
16.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
13829
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12011
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1199
89.5 IPS |
|
|
Object Detection (F16)
|
100% |
1168
87.2 IPS |
|
|
Object Detection (I8)
|
54% |
1006
75.1 IPS |
|
|
Face Detection (F32)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (F16)
|
100% |
1326
15.8 IPS |
|
|
Face Detection (I8)
|
89% |
1217
14.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7674
59.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7623
59.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
6533
50.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41290
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
41041
54.0 IPS |
|
|
Style Transfer (I8)
|
98% |
31864
41.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6884
245.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7295
260.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5109
182.4 IPS |
|
|
Text Classification (F32)
|
90% |
683
982.0 IPS |
|
|
Text Classification (F16)
|
90% |
712
1.02 KIPS |
|
|
Text Classification (I8)
|
90% |
550
789.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1504
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1482
27.3 IPS |
|
|
Machine Translation (I8)
|
70% |
852
15.7 IPS |
