Acer Predator PHN16-71
Geekbench ML Score
10866
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 12:05 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% |
3759
703.4 IPS |
|
|
Image Classification (F16)
|
100% |
4790
896.2 IPS |
|
|
Image Classification (I8)
|
100% |
3699
692.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
8075
134.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8085
135.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
7450
124.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
62927
76.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
60992
73.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
53545
64.8 IPS |
|
|
Object Detection (F32)
|
100% |
3769
281.4 IPS |
|
|
Object Detection (F16)
|
100% |
3811
284.5 IPS |
|
|
Object Detection (I8)
|
61% |
3567
266.3 IPS |
|
|
Face Detection (F32)
|
100% |
13900
165.3 IPS |
|
|
Face Detection (F16)
|
100% |
13507
160.6 IPS |
|
|
Face Detection (I8)
|
89% |
11594
137.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
29525
229.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
29942
232.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
25500
197.8 IPS |
|
|
Style Transfer (F32)
|
100% |
115787
152.3 IPS |
|
|
Style Transfer (F16)
|
100% |
98345
129.4 IPS |
|
|
Style Transfer (I8)
|
98% |
91278
120.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18761
670.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19231
686.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14703
525.1 IPS |
|
|
Text Classification (F32)
|
100% |
2643
3.80 KIPS |
|
|
Text Classification (F16)
|
100% |
2613
3.75 KIPS |
|
|
Text Classification (I8)
|
98% |
1420
2.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
2763
50.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2808
51.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1723
31.7 IPS |
