Acer Predator PH16-72
Geekbench ML Score
4141
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2024 09:48 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PH16-72 |
| Motherboard | RPL eTron_RTX |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2176
407.2 IPS |
|
|
Image Classification (F16)
|
100% |
2151
402.5 IPS |
|
|
Image Classification (I8)
|
99% |
3682
688.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1960
32.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1952
32.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2750
45.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9681
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
9798
11.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
28293
34.3 IPS |
|
|
Object Detection (F32)
|
100% |
2031
151.6 IPS |
|
|
Object Detection (F16)
|
100% |
2083
155.5 IPS |
|
|
Object Detection (I8)
|
62% |
1857
138.7 IPS |
|
|
Face Detection (F32)
|
100% |
4438
52.8 IPS |
|
|
Face Detection (F16)
|
100% |
4447
52.9 IPS |
|
|
Face Detection (I8)
|
89% |
4466
53.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8995
69.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8998
69.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
14605
113.3 IPS |
|
|
Style Transfer (F32)
|
100% |
21751
28.6 IPS |
|
|
Style Transfer (F16)
|
100% |
21742
28.6 IPS |
|
|
Style Transfer (I8)
|
98% |
24125
31.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4011
143.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3914
139.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4864
173.7 IPS |
|
|
Text Classification (F32)
|
100% |
1465
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1479
2.13 KIPS |
|
|
Text Classification (I8)
|
98% |
382
548.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2001
36.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2013
37.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2835
52.2 IPS |
