Acer Predator PHN16-71
Geekbench ML Score
10830
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 11:20 AM |
| 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% |
4019
752.1 IPS |
|
|
Image Classification (F16)
|
100% |
4221
789.8 IPS |
|
|
Image Classification (I8)
|
100% |
3822
715.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
8294
138.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8294
138.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
7422
124.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
61164
74.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
61054
73.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
55599
67.3 IPS |
|
|
Object Detection (F32)
|
100% |
4165
310.9 IPS |
|
|
Object Detection (F16)
|
100% |
3707
276.8 IPS |
|
|
Object Detection (I8)
|
61% |
4267
318.5 IPS |
|
|
Face Detection (F32)
|
100% |
13679
162.7 IPS |
|
|
Face Detection (F16)
|
100% |
13650
162.3 IPS |
|
|
Face Detection (I8)
|
89% |
11503
136.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
29738
230.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
26082
202.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
26621
206.4 IPS |
|
|
Style Transfer (F32)
|
100% |
113080
148.7 IPS |
|
|
Style Transfer (F16)
|
100% |
99982
131.5 IPS |
|
|
Style Transfer (I8)
|
98% |
90802
119.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20062
716.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17722
632.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13781
492.2 IPS |
|
|
Text Classification (F32)
|
100% |
2415
3.47 KIPS |
|
|
Text Classification (F16)
|
100% |
2464
3.54 KIPS |
|
|
Text Classification (I8)
|
98% |
1333
1.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
2808
51.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2804
51.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1736
32.0 IPS |
