HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench ML Score
1634
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 03:24 AM |
| Views | 3 |
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% |
760
142.1 IPS |
|
|
Image Classification (F16)
|
100% |
740
138.6 IPS |
|
|
Image Classification (I8)
|
99% |
1447
270.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
639
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
699
11.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1275
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2278
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
2262
2.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
9129
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
761
56.8 IPS |
|
|
Object Detection (F16)
|
100% |
742
55.4 IPS |
|
|
Object Detection (I8)
|
62% |
845
63.1 IPS |
|
|
Face Detection (F32)
|
100% |
1798
21.4 IPS |
|
|
Face Detection (F16)
|
100% |
1834
21.8 IPS |
|
|
Face Detection (I8)
|
89% |
2247
26.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2472
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2938
22.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
6358
49.3 IPS |
|
|
Style Transfer (F32)
|
100% |
5051
6.64 IPS |
|
|
Style Transfer (F16)
|
100% |
5572
7.33 IPS |
|
|
Style Transfer (I8)
|
98% |
11310
14.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1201
42.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1281
45.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2578
92.1 IPS |
|
|
Text Classification (F32)
|
100% |
738
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
673
967.5 IPS |
|
|
Text Classification (I8)
|
98% |
743
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1010
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1004
18.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1499
27.6 IPS |
