Acer Predator PHN16-71
Geekbench ML Score
3272
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 09 2024 11:34 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1727
323.1 IPS |
|
|
Image Classification (F16)
|
100% |
1804
337.6 IPS |
|
|
Image Classification (I8)
|
99% |
3011
563.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1659
27.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1594
26.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2216
37.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5341
6.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
5384
6.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
18002
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1692
126.3 IPS |
|
|
Object Detection (F16)
|
100% |
1737
129.7 IPS |
|
|
Object Detection (I8)
|
62% |
1634
122.0 IPS |
|
|
Face Detection (F32)
|
100% |
3697
44.0 IPS |
|
|
Face Detection (F16)
|
100% |
3619
43.0 IPS |
|
|
Face Detection (I8)
|
89% |
3920
46.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6500
50.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6825
52.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
12610
97.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13520
17.8 IPS |
|
|
Style Transfer (F16)
|
100% |
13159
17.3 IPS |
|
|
Style Transfer (I8)
|
98% |
20318
26.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3013
107.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2781
99.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4546
162.4 IPS |
|
|
Text Classification (F32)
|
100% |
1395
2.01 KIPS |
|
|
Text Classification (F16)
|
100% |
1347
1.94 KIPS |
|
|
Text Classification (I8)
|
98% |
403
578.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1684
31.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1702
31.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2337
43.0 IPS |
