HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx
Geekbench ML Score
3027
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 11:42 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx |
| Motherboard | HP 8C15 |
| 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% |
1354
253.4 IPS |
|
|
Image Classification (F16)
|
100% |
1353
253.2 IPS |
|
|
Image Classification (I8)
|
100% |
1227
229.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1590
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1523
25.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1395
23.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14429
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
14514
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
12645
15.3 IPS |
|
|
Object Detection (F32)
|
100% |
1204
89.9 IPS |
|
|
Object Detection (F16)
|
100% |
1194
89.1 IPS |
|
|
Object Detection (I8)
|
54% |
1092
81.5 IPS |
|
|
Face Detection (F32)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (F16)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (I8)
|
89% |
1251
14.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7780
60.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7756
60.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
6574
51.0 IPS |
|
|
Style Transfer (F32)
|
100% |
42068
55.3 IPS |
|
|
Style Transfer (F16)
|
100% |
40788
53.7 IPS |
|
|
Style Transfer (I8)
|
98% |
32571
42.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7235
258.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7150
255.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4916
175.6 IPS |
|
|
Text Classification (F32)
|
90% |
715
1.03 KIPS |
|
|
Text Classification (F16)
|
90% |
742
1.07 KIPS |
|
|
Text Classification (I8)
|
90% |
557
800.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1543
28.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1555
28.6 IPS |
|
|
Machine Translation (I8)
|
70% |
897
16.5 IPS |
