Acer Predator PH16-72
Geekbench ML Score
1420
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2024 09:58 PM |
| Views | 2 |
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% |
680
127.3 IPS |
|
|
Image Classification (F16)
|
100% |
672
125.8 IPS |
|
|
Image Classification (I8)
|
100% |
565
105.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1002
16.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
989
16.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
768
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5252
6.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
5264
6.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
3548
4.30 IPS |
|
|
Object Detection (F32)
|
100% |
708
52.8 IPS |
|
|
Object Detection (F16)
|
100% |
711
53.1 IPS |
|
|
Object Detection (I8)
|
54% |
605
45.2 IPS |
|
|
Face Detection (F32)
|
100% |
1487
17.7 IPS |
|
|
Face Detection (F16)
|
100% |
1483
17.6 IPS |
|
|
Face Detection (I8)
|
89% |
1061
12.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3029
23.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3036
23.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
2339
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10873
14.3 IPS |
|
|
Style Transfer (F16)
|
100% |
10874
14.3 IPS |
|
|
Style Transfer (I8)
|
98% |
8231
10.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1795
64.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1767
63.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
992
35.4 IPS |
|
|
Text Classification (F32)
|
100% |
764
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
730
1.05 KIPS |
|
|
Text Classification (I8)
|
98% |
372
534.4 IPS |
|
|
Machine Translation (F32)
|
100% |
694
12.8 IPS |
|
|
Machine Translation (F16)
|
100% |
700
12.9 IPS |
|
|
Machine Translation (I8)
|
70% |
410
7.54 IPS |
