Acer Predator PHN16-71
Geekbench ML Score
3360
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 01:05 PM |
| Views | 3 |
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% |
1341
250.9 IPS |
|
|
Image Classification (F16)
|
100% |
1696
317.3 IPS |
|
|
Image Classification (I8)
|
99% |
3232
604.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1724
28.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1706
28.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2460
41.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4341
5.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
4542
5.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
19474
23.6 IPS |
|
|
Object Detection (F32)
|
100% |
1323
98.7 IPS |
|
|
Object Detection (F16)
|
100% |
1851
138.2 IPS |
|
|
Object Detection (I8)
|
62% |
1818
135.7 IPS |
|
|
Face Detection (F32)
|
100% |
3745
44.5 IPS |
|
|
Face Detection (F16)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (I8)
|
89% |
4281
50.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7210
55.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6970
54.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
12607
97.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15189
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13030
17.1 IPS |
|
|
Style Transfer (I8)
|
98% |
21484
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3303
118.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3341
119.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4657
166.3 IPS |
|
|
Text Classification (F32)
|
100% |
1416
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1471
2.11 KIPS |
|
|
Text Classification (I8)
|
98% |
422
607.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1885
34.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1870
34.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2619
48.2 IPS |
