Acer Predator PH16-72
Geekbench ML Score
4157
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2024 09:49 PM |
| Views | 11 |
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% |
2108
394.4 IPS |
|
|
Image Classification (F16)
|
100% |
2174
406.7 IPS |
|
|
Image Classification (I8)
|
99% |
3647
682.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1894
31.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1932
32.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2886
48.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
9730
11.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
9750
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
29126
35.3 IPS |
|
|
Object Detection (F32)
|
100% |
1985
148.2 IPS |
|
|
Object Detection (F16)
|
100% |
2154
160.8 IPS |
|
|
Object Detection (I8)
|
62% |
1804
134.7 IPS |
|
|
Face Detection (F32)
|
100% |
4390
52.2 IPS |
|
|
Face Detection (F16)
|
100% |
4402
52.3 IPS |
|
|
Face Detection (I8)
|
89% |
4420
52.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
9112
70.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9030
70.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
14866
115.3 IPS |
|
|
Style Transfer (F32)
|
100% |
21826
28.7 IPS |
|
|
Style Transfer (F16)
|
100% |
21884
28.8 IPS |
|
|
Style Transfer (I8)
|
98% |
24588
32.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4049
144.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3964
141.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4979
177.8 IPS |
|
|
Text Classification (F32)
|
100% |
1482
2.13 KIPS |
|
|
Text Classification (F16)
|
100% |
1481
2.13 KIPS |
|
|
Text Classification (I8)
|
98% |
412
592.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1994
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1971
36.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2804
51.6 IPS |
