Acer Predator PHN16-71
Geekbench ML Score
10624
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 22 2024 02:48 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% |
3731
698.2 IPS |
|
|
Image Classification (F16)
|
100% |
5118
957.7 IPS |
|
|
Image Classification (I8)
|
100% |
3782
707.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
8257
137.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8196
136.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
7513
125.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
63751
77.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
62571
75.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
53774
65.1 IPS |
|
|
Object Detection (F32)
|
100% |
2446
182.6 IPS |
|
|
Object Detection (F16)
|
100% |
2459
183.6 IPS |
|
|
Object Detection (I8)
|
61% |
4149
309.7 IPS |
|
|
Face Detection (F32)
|
100% |
13960
166.0 IPS |
|
|
Face Detection (F16)
|
100% |
13682
162.7 IPS |
|
|
Face Detection (I8)
|
89% |
11476
136.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
29352
227.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
31000
240.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
23954
185.8 IPS |
|
|
Style Transfer (F32)
|
100% |
107622
141.6 IPS |
|
|
Style Transfer (F16)
|
100% |
99278
130.6 IPS |
|
|
Style Transfer (I8)
|
98% |
91075
119.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17764
634.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17534
626.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15311
546.8 IPS |
|
|
Text Classification (F32)
|
100% |
2587
3.72 KIPS |
|
|
Text Classification (F16)
|
100% |
2565
3.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1348
1.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
2975
54.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3115
57.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1706
31.4 IPS |
