Acer Predator PTN16-51
Geekbench ML Score
3004
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 14 2024 10:53 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PTN16-51 |
| Motherboard | MTL Leaf_MTH |
| Power Plan | Acer |
| 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% |
1416
265.0 IPS |
|
|
Image Classification (F16)
|
100% |
1421
266.0 IPS |
|
|
Image Classification (I8)
|
100% |
1256
235.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1507
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1517
25.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1312
21.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
13481
16.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
13557
16.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
12088
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1288
96.2 IPS |
|
|
Object Detection (F16)
|
100% |
1328
99.2 IPS |
|
|
Object Detection (I8)
|
54% |
1188
88.7 IPS |
|
|
Face Detection (F32)
|
100% |
1180
14.0 IPS |
|
|
Face Detection (F16)
|
100% |
1175
14.0 IPS |
|
|
Face Detection (I8)
|
89% |
1091
13.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7923
61.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8064
62.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
6707
52.0 IPS |
|
|
Style Transfer (F32)
|
100% |
41954
55.2 IPS |
|
|
Style Transfer (F16)
|
100% |
41562
54.7 IPS |
|
|
Style Transfer (I8)
|
98% |
31515
41.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7373
263.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7051
251.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5145
183.7 IPS |
|
|
Text Classification (F32)
|
90% |
732
1.05 KIPS |
|
|
Text Classification (F16)
|
90% |
726
1.04 KIPS |
|
|
Text Classification (I8)
|
90% |
544
781.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1579
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1590
29.3 IPS |
|
|
Machine Translation (I8)
|
70% |
917
16.9 IPS |
