Acer Predator PHN16-71
Geekbench ML Score
3215
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 02 2024 01:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PHN16-71 |
| Motherboard | RPL Compass_RTX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1657
310.1 IPS |
|
|
Image Classification (F16)
|
100% |
1727
323.1 IPS |
|
|
Image Classification (I8)
|
99% |
3075
575.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1652
27.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1661
27.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2248
37.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5223
6.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
5287
6.40 IPS |
|
|
Pose Estimation (I8)
|
100% |
17760
21.5 IPS |
|
|
Object Detection (F32)
|
100% |
1655
123.5 IPS |
|
|
Object Detection (F16)
|
100% |
1665
124.3 IPS |
|
|
Object Detection (I8)
|
62% |
1569
117.2 IPS |
|
|
Face Detection (F32)
|
100% |
3721
44.2 IPS |
|
|
Face Detection (F16)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (I8)
|
89% |
3788
45.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6098
47.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6120
47.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
11986
93.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12965
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12864
16.9 IPS |
|
|
Style Transfer (I8)
|
98% |
20468
26.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2860
102.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3003
107.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4180
149.3 IPS |
|
|
Text Classification (F32)
|
100% |
1370
1.97 KIPS |
|
|
Text Classification (F16)
|
100% |
1392
2.00 KIPS |
|
|
Text Classification (I8)
|
98% |
396
569.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1706
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1702
31.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2308
42.5 IPS |
