Acer Predator PHN16-71
Geekbench ML Score
2997
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 29 2024 09:48 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1619
302.9 IPS |
|
|
Image Classification (F16)
|
100% |
1576
294.9 IPS |
|
|
Image Classification (I8)
|
99% |
2982
558.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1416
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1518
25.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2061
34.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4648
5.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
4678
5.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
17955
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1616
120.6 IPS |
|
|
Object Detection (F16)
|
100% |
1585
118.3 IPS |
|
|
Object Detection (I8)
|
62% |
1476
110.2 IPS |
|
|
Face Detection (F32)
|
100% |
3360
39.9 IPS |
|
|
Face Detection (F16)
|
100% |
3436
40.9 IPS |
|
|
Face Detection (I8)
|
89% |
3543
42.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5823
45.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5724
44.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
11392
88.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11864
15.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11580
15.2 IPS |
|
|
Style Transfer (I8)
|
98% |
19170
25.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2667
95.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2512
89.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4218
150.6 IPS |
|
|
Text Classification (F32)
|
100% |
1323
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1298
1.86 KIPS |
|
|
Text Classification (I8)
|
98% |
391
562.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1594
29.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1559
28.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2102
38.7 IPS |
