Acer Predator PTN16-51
Geekbench ML Score
3029
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 14 2024 10:49 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% |
1410
263.8 IPS |
|
|
Image Classification (F16)
|
100% |
1402
262.4 IPS |
|
|
Image Classification (I8)
|
100% |
1259
235.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1498
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1517
25.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1300
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
13692
16.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
13591
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11994
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1282
95.7 IPS |
|
|
Object Detection (F16)
|
100% |
1262
94.2 IPS |
|
|
Object Detection (I8)
|
54% |
1204
89.9 IPS |
|
|
Face Detection (F32)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (F16)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (I8)
|
89% |
1091
13.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8047
62.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8065
62.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
6605
51.2 IPS |
|
|
Style Transfer (F32)
|
100% |
42481
55.9 IPS |
|
|
Style Transfer (F16)
|
100% |
41709
54.9 IPS |
|
|
Style Transfer (I8)
|
98% |
31637
41.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7475
267.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7469
266.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5153
184.0 IPS |
|
|
Text Classification (F32)
|
90% |
766
1.10 KIPS |
|
|
Text Classification (F16)
|
90% |
760
1.09 KIPS |
|
|
Text Classification (I8)
|
90% |
573
823.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1619
29.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1608
29.6 IPS |
|
|
Machine Translation (I8)
|
70% |
922
17.0 IPS |
