HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx
Geekbench ML Score
2820
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 11:09 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1397
261.5 IPS |
|
|
Image Classification (F16)
|
100% |
1437
269.0 IPS |
|
|
Image Classification (I8)
|
99% |
2620
490.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1212
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1360
22.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2083
34.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5062
6.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
5167
6.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
18301
22.2 IPS |
|
|
Object Detection (F32)
|
100% |
1337
99.8 IPS |
|
|
Object Detection (F16)
|
100% |
1330
99.3 IPS |
|
|
Object Detection (I8)
|
62% |
1348
100.6 IPS |
|
|
Face Detection (F32)
|
100% |
3503
41.7 IPS |
|
|
Face Detection (F16)
|
100% |
3424
40.7 IPS |
|
|
Face Detection (I8)
|
89% |
3507
41.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5653
43.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5683
44.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
11142
86.4 IPS |
|
|
Style Transfer (F32)
|
100% |
12502
16.4 IPS |
|
|
Style Transfer (F16)
|
100% |
12868
16.9 IPS |
|
|
Style Transfer (I8)
|
98% |
18602
24.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2145
76.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2344
83.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3940
140.7 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
992
1.43 KIPS |
|
|
Text Classification (I8)
|
98% |
363
522.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1461
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1456
26.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2290
42.1 IPS |
