HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench ML Score
1604
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 11:28 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Transcend Gaming Laptop 14-fb0xxx |
| Motherboard | HP 8C58 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 22 |
| L1 Data Cache | 32.0 KB x 22 |
| 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% |
788
147.4 IPS |
|
|
Image Classification (F16)
|
100% |
775
144.9 IPS |
|
|
Image Classification (I8)
|
99% |
1403
262.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
751
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
712
11.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
915
15.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2837
3.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
2987
3.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
11411
13.8 IPS |
|
|
Object Detection (F32)
|
100% |
808
60.3 IPS |
|
|
Object Detection (F16)
|
100% |
783
58.4 IPS |
|
|
Object Detection (I8)
|
62% |
766
57.2 IPS |
|
|
Face Detection (F32)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (F16)
|
100% |
2268
27.0 IPS |
|
|
Face Detection (I8)
|
89% |
2263
26.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3290
25.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3226
25.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
6821
52.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7410
9.75 IPS |
|
|
Style Transfer (F16)
|
100% |
7358
9.68 IPS |
|
|
Style Transfer (I8)
|
98% |
13068
17.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1224
43.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1168
41.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2209
78.9 IPS |
|
|
Text Classification (F32)
|
100% |
529
761.0 IPS |
|
|
Text Classification (F16)
|
100% |
532
765.1 IPS |
|
|
Text Classification (I8)
|
98% |
191
275.2 IPS |
|
|
Machine Translation (F32)
|
100% |
763
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
767
14.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1220
22.5 IPS |
