Acer Predator PHN16-71
Geekbench ML Score
10545
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 12:12 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 | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4001
748.7 IPS |
|
|
Image Classification (F16)
|
100% |
5065
947.8 IPS |
|
|
Image Classification (I8)
|
100% |
3492
653.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
8229
137.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
8145
136.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
7506
125.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
62201
75.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
63222
76.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
55638
67.4 IPS |
|
|
Object Detection (F32)
|
100% |
2420
180.6 IPS |
|
|
Object Detection (F16)
|
100% |
2388
178.3 IPS |
|
|
Object Detection (I8)
|
61% |
3748
279.8 IPS |
|
|
Face Detection (F32)
|
100% |
13848
164.7 IPS |
|
|
Face Detection (F16)
|
100% |
13485
160.3 IPS |
|
|
Face Detection (I8)
|
89% |
11306
134.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
27329
211.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
28077
217.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
22748
176.4 IPS |
|
|
Style Transfer (F32)
|
100% |
101578
133.6 IPS |
|
|
Style Transfer (F16)
|
100% |
100302
131.9 IPS |
|
|
Style Transfer (I8)
|
98% |
88133
115.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19845
708.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19015
679.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15553
555.5 IPS |
|
|
Text Classification (F32)
|
100% |
2581
3.71 KIPS |
|
|
Text Classification (F16)
|
100% |
2606
3.74 KIPS |
|
|
Text Classification (I8)
|
98% |
1533
2.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
2870
52.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2952
54.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1721
31.7 IPS |
