Acer Predator PTN16-51
Geekbench ML Score
12255
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 14 2024 10:54 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% |
6061
1.13 KIPS |
|
|
Image Classification (F16)
|
100% |
6060
1.13 KIPS |
|
|
Image Classification (I8)
|
100% |
5446
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8732
145.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
8835
147.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
7914
132.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
68755
83.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
68720
83.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
61513
74.5 IPS |
|
|
Object Detection (F32)
|
100% |
4626
345.3 IPS |
|
|
Object Detection (F16)
|
100% |
4677
349.2 IPS |
|
|
Object Detection (I8)
|
61% |
4151
309.9 IPS |
|
|
Face Detection (F32)
|
100% |
16517
196.4 IPS |
|
|
Face Detection (F16)
|
100% |
16775
199.5 IPS |
|
|
Face Detection (I8)
|
89% |
14362
170.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
36012
279.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
29080
225.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
31007
240.5 IPS |
|
|
Style Transfer (F32)
|
100% |
105867
139.3 IPS |
|
|
Style Transfer (F16)
|
100% |
104803
137.9 IPS |
|
|
Style Transfer (I8)
|
98% |
96466
126.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21660
773.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21387
763.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16234
579.8 IPS |
|
|
Text Classification (F32)
|
100% |
2208
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2230
3.20 KIPS |
|
|
Text Classification (I8)
|
98% |
1343
1.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
3286
60.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3272
60.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1896
34.9 IPS |
