HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench ML Score
2885
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 07:31 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP OmniBook Ultra Flip Laptop 14-fh0xxx |
| Motherboard | HP 8CDE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1461
273.5 IPS |
|
|
Image Classification (F16)
|
100% |
1427
266.9 IPS |
|
|
Image Classification (I8)
|
99% |
2641
494.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1268
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1234
20.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2248
37.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4322
5.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
4221
5.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
15421
18.7 IPS |
|
|
Object Detection (F32)
|
100% |
1553
115.9 IPS |
|
|
Object Detection (F16)
|
100% |
1522
113.6 IPS |
|
|
Object Detection (I8)
|
62% |
1449
108.2 IPS |
|
|
Face Detection (F32)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (F16)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (I8)
|
89% |
3622
43.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4438
34.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4992
38.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
10718
83.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10835
14.3 IPS |
|
|
Style Transfer (F16)
|
100% |
10848
14.3 IPS |
|
|
Style Transfer (I8)
|
98% |
18755
24.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2297
82.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2258
80.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3995
142.7 IPS |
|
|
Text Classification (F32)
|
100% |
1189
1.71 KIPS |
|
|
Text Classification (F16)
|
100% |
1133
1.63 KIPS |
|
|
Text Classification (I8)
|
98% |
952
1.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
1684
31.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1649
30.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2292
42.2 IPS |
