Acer Predator PHN16-71
Geekbench ML Score
3685
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Acer Predator PHN16-71 |
| Motherboard | RPL Compass_RTX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1943
363.5 IPS |
|
|
Image Classification (F16)
|
100% |
1945
364.0 IPS |
|
|
Image Classification (I8)
|
99% |
3232
604.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1725
28.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1727
28.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2354
39.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7920
9.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
7846
9.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
23622
28.6 IPS |
|
|
Object Detection (F32)
|
100% |
1853
138.3 IPS |
|
|
Object Detection (F16)
|
100% |
1855
138.5 IPS |
|
|
Object Detection (I8)
|
62% |
1643
122.7 IPS |
|
|
Face Detection (F32)
|
100% |
4136
49.2 IPS |
|
|
Face Detection (F16)
|
100% |
4126
49.1 IPS |
|
|
Face Detection (I8)
|
89% |
4266
50.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7223
56.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7770
60.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
13944
108.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18332
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
18474
24.3 IPS |
|
|
Style Transfer (I8)
|
98% |
22819
30.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3644
130.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3722
132.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4534
161.9 IPS |
|
|
Text Classification (F32)
|
100% |
1293
1.86 KIPS |
|
|
Text Classification (F16)
|
100% |
1298
1.87 KIPS |
|
|
Text Classification (I8)
|
98% |
366
526.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1822
33.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1821
33.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2521
46.4 IPS |
