Acer Predator PHN16-71
Geekbench ML Score
3879
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 04:05 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Predator PHN16-71 |
| Motherboard | RPL Compass_RTX |
| Power Plan | Acer |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2028
379.6 IPS |
|
|
Image Classification (F16)
|
100% |
2022
378.3 IPS |
|
|
Image Classification (I8)
|
99% |
3294
616.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1859
31.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1805
30.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2587
43.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
9315
11.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
9664
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
27585
33.4 IPS |
|
|
Object Detection (F32)
|
100% |
1910
142.6 IPS |
|
|
Object Detection (F16)
|
100% |
1878
140.2 IPS |
|
|
Object Detection (I8)
|
62% |
1702
127.1 IPS |
|
|
Face Detection (F32)
|
100% |
3766
44.8 IPS |
|
|
Face Detection (F16)
|
100% |
3866
46.0 IPS |
|
|
Face Detection (I8)
|
89% |
4067
48.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8949
69.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8179
63.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
13423
104.1 IPS |
|
|
Style Transfer (F32)
|
100% |
21236
27.9 IPS |
|
|
Style Transfer (F16)
|
100% |
21037
27.7 IPS |
|
|
Style Transfer (I8)
|
98% |
22481
29.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3630
129.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3813
136.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4642
165.8 IPS |
|
|
Text Classification (F32)
|
100% |
1468
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1327
1.91 KIPS |
|
|
Text Classification (I8)
|
98% |
375
538.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1871
34.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1882
34.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2691
49.5 IPS |
