HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench ML Score
2801
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 11:41 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 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 | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1646
308.0 IPS |
|
|
Image Classification (F16)
|
100% |
1664
311.4 IPS |
|
|
Image Classification (I8)
|
100% |
1352
253.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2261
37.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2220
37.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1788
29.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
11664
14.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
11084
13.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9643
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
1331
99.4 IPS |
|
|
Object Detection (F16)
|
100% |
1259
94.0 IPS |
|
|
Object Detection (I8)
|
54% |
1154
86.1 IPS |
|
|
Face Detection (F32)
|
100% |
3439
40.9 IPS |
|
|
Face Detection (F16)
|
100% |
3398
40.4 IPS |
|
|
Face Detection (I8)
|
89% |
2557
30.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7064
54.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
7230
56.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
5686
44.1 IPS |
|
|
Style Transfer (F32)
|
100% |
31633
41.6 IPS |
|
|
Style Transfer (F16)
|
100% |
30948
40.7 IPS |
|
|
Style Transfer (I8)
|
98% |
23822
31.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5048
180.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5183
185.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2962
105.8 IPS |
|
|
Text Classification (F32)
|
90% |
380
546.3 IPS |
|
|
Text Classification (F16)
|
90% |
355
510.7 IPS |
|
|
Text Classification (I8)
|
90% |
302
433.6 IPS |
|
|
Machine Translation (F32)
|
100% |
906
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
940
17.3 IPS |
|
|
Machine Translation (I8)
|
70% |
607
11.2 IPS |
