Acer Predator PTN16-51
Geekbench ML Score
3448
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 14 2024 10:46 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1751
327.7 IPS |
|
|
Image Classification (F16)
|
100% |
1810
338.6 IPS |
|
|
Image Classification (I8)
|
99% |
2991
559.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1657
27.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1546
25.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2688
44.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6479
7.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
6476
7.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
22151
26.8 IPS |
|
|
Object Detection (F32)
|
100% |
1799
134.3 IPS |
|
|
Object Detection (F16)
|
100% |
1798
134.3 IPS |
|
|
Object Detection (I8)
|
62% |
1612
120.3 IPS |
|
|
Face Detection (F32)
|
100% |
3758
44.7 IPS |
|
|
Face Detection (F16)
|
100% |
3806
45.3 IPS |
|
|
Face Detection (I8)
|
89% |
3797
45.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7210
55.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7189
55.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
13708
106.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15481
20.4 IPS |
|
|
Style Transfer (F16)
|
100% |
16142
21.2 IPS |
|
|
Style Transfer (I8)
|
98% |
19233
25.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2903
103.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2982
106.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4492
160.4 IPS |
|
|
Text Classification (F32)
|
100% |
1231
1.77 KIPS |
|
|
Text Classification (F16)
|
100% |
1224
1.76 KIPS |
|
|
Text Classification (I8)
|
98% |
468
673.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1835
33.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1653
30.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2752
50.6 IPS |
