Acer Predator PTN16-51
Geekbench ML Score
12401
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 14 2024 10:57 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 | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6049
1.13 KIPS |
|
|
Image Classification (F16)
|
100% |
6131
1.15 KIPS |
|
|
Image Classification (I8)
|
100% |
5472
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10102
168.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
8778
146.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
8033
134.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
69146
83.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
69063
83.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
61147
74.0 IPS |
|
|
Object Detection (F32)
|
100% |
4532
338.4 IPS |
|
|
Object Detection (F16)
|
100% |
4652
347.3 IPS |
|
|
Object Detection (I8)
|
61% |
4280
319.5 IPS |
|
|
Face Detection (F32)
|
100% |
16545
196.7 IPS |
|
|
Face Detection (F16)
|
100% |
17077
203.1 IPS |
|
|
Face Detection (I8)
|
89% |
14062
167.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
35477
275.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
28862
223.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
31240
242.3 IPS |
|
|
Style Transfer (F32)
|
100% |
134020
176.3 IPS |
|
|
Style Transfer (F16)
|
100% |
106033
139.5 IPS |
|
|
Style Transfer (I8)
|
98% |
96639
127.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21080
752.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21468
766.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15841
565.7 IPS |
|
|
Text Classification (F32)
|
100% |
2193
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
2232
3.21 KIPS |
|
|
Text Classification (I8)
|
98% |
1357
1.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
3255
59.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3264
60.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1896
34.9 IPS |
