Acer Predator PH16-72
Geekbench ML Score
1417
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2024 09:56 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PH16-72 |
| Motherboard | RPL eTron_RTX |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
686
128.3 IPS |
|
|
Image Classification (F16)
|
100% |
684
127.9 IPS |
|
|
Image Classification (I8)
|
100% |
555
103.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
999
16.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
986
16.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
771
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5326
6.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
5329
6.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
3493
4.23 IPS |
|
|
Object Detection (F32)
|
100% |
702
52.4 IPS |
|
|
Object Detection (F16)
|
100% |
738
55.1 IPS |
|
|
Object Detection (I8)
|
54% |
597
44.5 IPS |
|
|
Face Detection (F32)
|
100% |
1480
17.6 IPS |
|
|
Face Detection (F16)
|
100% |
1483
17.6 IPS |
|
|
Face Detection (I8)
|
89% |
1057
12.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3056
23.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3043
23.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2340
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10727
14.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10734
14.1 IPS |
|
|
Style Transfer (I8)
|
98% |
8143
10.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1781
63.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1797
64.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
982
35.1 IPS |
|
|
Text Classification (F32)
|
100% |
725
1.04 KIPS |
|
|
Text Classification (F16)
|
100% |
746
1.07 KIPS |
|
|
Text Classification (I8)
|
98% |
372
535.3 IPS |
|
|
Machine Translation (F32)
|
100% |
689
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
694
12.8 IPS |
|
|
Machine Translation (I8)
|
70% |
408
7.52 IPS |
