Acer Predator PHN16-71
Geekbench ML Score
11144
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 01:06 PM |
| Views | 3 |
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% |
4419
827.0 IPS |
|
|
Image Classification (F16)
|
100% |
5010
937.5 IPS |
|
|
Image Classification (I8)
|
100% |
4725
884.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
8731
145.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
8291
138.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
7563
126.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
61551
74.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
61189
74.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
55532
67.2 IPS |
|
|
Object Detection (F32)
|
100% |
4197
313.4 IPS |
|
|
Object Detection (F16)
|
100% |
4226
315.5 IPS |
|
|
Object Detection (I8)
|
61% |
3649
272.4 IPS |
|
|
Face Detection (F32)
|
100% |
13291
158.0 IPS |
|
|
Face Detection (F16)
|
100% |
13609
161.8 IPS |
|
|
Face Detection (I8)
|
89% |
11388
135.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
29912
232.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
27241
211.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
25878
200.7 IPS |
|
|
Style Transfer (F32)
|
100% |
113316
149.1 IPS |
|
|
Style Transfer (F16)
|
100% |
100411
132.1 IPS |
|
|
Style Transfer (I8)
|
98% |
91325
120.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19559
698.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18884
674.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15638
558.5 IPS |
|
|
Text Classification (F32)
|
100% |
2604
3.74 KIPS |
|
|
Text Classification (F16)
|
100% |
2614
3.76 KIPS |
|
|
Text Classification (I8)
|
98% |
1447
2.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
2816
51.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2706
49.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1701
31.3 IPS |
