HP HP Spectre x360 2-in-1 Laptop 16-aa0xxx
Geekbench ML Score
2792
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 09:10 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1462
273.7 IPS |
|
|
Image Classification (F16)
|
100% |
1444
270.2 IPS |
|
|
Image Classification (I8)
|
99% |
2623
490.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1192
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1263
21.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2117
35.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4893
5.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
5106
6.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
18968
23.0 IPS |
|
|
Object Detection (F32)
|
100% |
1342
100.2 IPS |
|
|
Object Detection (F16)
|
100% |
1332
99.4 IPS |
|
|
Object Detection (I8)
|
62% |
1306
97.5 IPS |
|
|
Face Detection (F32)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (F16)
|
100% |
3235
38.5 IPS |
|
|
Face Detection (I8)
|
89% |
3547
42.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5774
44.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5661
43.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
11095
86.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12632
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12345
16.2 IPS |
|
|
Style Transfer (I8)
|
98% |
18576
24.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2246
80.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2242
80.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3646
130.2 IPS |
|
|
Text Classification (F32)
|
100% |
1035
1.49 KIPS |
|
|
Text Classification (F16)
|
100% |
979
1.41 KIPS |
|
|
Text Classification (I8)
|
98% |
354
508.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1444
26.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1378
25.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2321
42.7 IPS |
