Acer Predator PHN16-71
Geekbench ML Score
3377
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 12:02 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% |
1810
338.7 IPS |
|
|
Image Classification (F16)
|
100% |
1808
338.3 IPS |
|
|
Image Classification (I8)
|
99% |
3201
598.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1697
28.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1680
28.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2272
38.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5784
7.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
5819
7.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
19145
23.2 IPS |
|
|
Object Detection (F32)
|
100% |
1712
127.8 IPS |
|
|
Object Detection (F16)
|
100% |
1805
134.7 IPS |
|
|
Object Detection (I8)
|
62% |
1660
124.0 IPS |
|
|
Face Detection (F32)
|
100% |
3723
44.3 IPS |
|
|
Face Detection (F16)
|
100% |
3771
44.8 IPS |
|
|
Face Detection (I8)
|
89% |
4004
47.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6983
54.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6752
52.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
12222
94.8 IPS |
|
|
Style Transfer (F32)
|
100% |
14444
19.0 IPS |
|
|
Style Transfer (F16)
|
100% |
14132
18.6 IPS |
|
|
Style Transfer (I8)
|
98% |
20687
27.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2983
106.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3152
112.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4450
158.9 IPS |
|
|
Text Classification (F32)
|
100% |
1365
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
1345
1.93 KIPS |
|
|
Text Classification (I8)
|
98% |
432
620.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1715
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1741
32.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2368
43.6 IPS |
