Acer Predator PH16-72
Geekbench ML Score
15635
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2024 10:01 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 | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7428
1.39 KIPS |
|
|
Image Classification (F16)
|
100% |
8099
1.52 KIPS |
|
|
Image Classification (I8)
|
100% |
6460
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11781
196.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
10324
172.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
10629
177.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
115225
139.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
116238
140.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
103049
124.8 IPS |
|
|
Object Detection (F32)
|
100% |
5861
437.5 IPS |
|
|
Object Detection (F16)
|
100% |
5901
440.5 IPS |
|
|
Object Detection (I8)
|
63% |
5501
410.6 IPS |
|
|
Face Detection (F32)
|
100% |
20596
244.9 IPS |
|
|
Face Detection (F16)
|
100% |
22473
267.2 IPS |
|
|
Face Detection (I8)
|
89% |
20093
238.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
50311
390.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
38156
295.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
33510
259.9 IPS |
|
|
Style Transfer (F32)
|
100% |
182875
240.6 IPS |
|
|
Style Transfer (F16)
|
100% |
177208
233.1 IPS |
|
|
Style Transfer (I8)
|
98% |
157888
207.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24155
862.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24471
873.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18410
657.5 IPS |
|
|
Text Classification (F32)
|
100% |
2551
3.67 KIPS |
|
|
Text Classification (F16)
|
100% |
2569
3.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1423
2.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
3363
61.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2639
48.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1829
33.7 IPS |
