Acer Predator PHN16-71
Geekbench ML Score
11027
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 09:02 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% |
4227
791.0 IPS |
|
|
Image Classification (F16)
|
100% |
4755
889.9 IPS |
|
|
Image Classification (I8)
|
100% |
4500
842.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
8597
143.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8094
135.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
7499
125.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
62363
75.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
67017
81.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
54756
66.3 IPS |
|
|
Object Detection (F32)
|
100% |
4360
325.5 IPS |
|
|
Object Detection (F16)
|
100% |
4121
307.7 IPS |
|
|
Object Detection (I8)
|
61% |
3869
288.8 IPS |
|
|
Face Detection (F32)
|
100% |
13690
162.8 IPS |
|
|
Face Detection (F16)
|
100% |
13621
162.0 IPS |
|
|
Face Detection (I8)
|
89% |
11491
136.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
30890
239.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
30362
235.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
24369
189.0 IPS |
|
|
Style Transfer (F32)
|
100% |
102681
135.1 IPS |
|
|
Style Transfer (F16)
|
100% |
102342
134.6 IPS |
|
|
Style Transfer (I8)
|
98% |
90730
119.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20406
728.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17673
631.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15002
535.8 IPS |
|
|
Text Classification (F32)
|
100% |
2313
3.32 KIPS |
|
|
Text Classification (F16)
|
100% |
2411
3.47 KIPS |
|
|
Text Classification (I8)
|
98% |
1325
1.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
2823
51.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2764
50.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1721
31.7 IPS |
