Acer Predator PTN16-51
Geekbench ML Score
3469
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 14 2024 10:48 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% |
1741
325.8 IPS |
|
|
Image Classification (F16)
|
100% |
1827
341.9 IPS |
|
|
Image Classification (I8)
|
99% |
3142
587.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1573
26.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1486
24.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2777
46.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6456
7.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
6472
7.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
22855
27.7 IPS |
|
|
Object Detection (F32)
|
100% |
1764
131.7 IPS |
|
|
Object Detection (F16)
|
100% |
1773
132.4 IPS |
|
|
Object Detection (I8)
|
62% |
1585
118.3 IPS |
|
|
Face Detection (F32)
|
100% |
3789
45.0 IPS |
|
|
Face Detection (F16)
|
100% |
3788
45.0 IPS |
|
|
Face Detection (I8)
|
89% |
3845
45.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7136
55.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7282
56.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
13557
105.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15885
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
16035
21.1 IPS |
|
|
Style Transfer (I8)
|
98% |
19312
25.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2993
106.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2956
105.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4675
166.9 IPS |
|
|
Text Classification (F32)
|
100% |
1256
1.81 KIPS |
|
|
Text Classification (F16)
|
100% |
1273
1.83 KIPS |
|
|
Text Classification (I8)
|
98% |
442
634.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1853
34.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1879
34.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2700
49.7 IPS |
