Acer Predator PH16-72
Geekbench ML Score
16721
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 07:57 AM |
| 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 | High performance |
| 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% |
8729
1.63 KIPS |
|
|
Image Classification (F16)
|
100% |
8519
1.59 KIPS |
|
|
Image Classification (I8)
|
100% |
7401
1.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10784
180.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
10798
180.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
10211
170.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
119586
144.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
117977
142.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
106960
129.5 IPS |
|
|
Object Detection (F32)
|
100% |
6010
448.7 IPS |
|
|
Object Detection (F16)
|
100% |
5931
442.8 IPS |
|
|
Object Detection (I8)
|
63% |
5301
395.8 IPS |
|
|
Face Detection (F32)
|
100% |
23324
277.3 IPS |
|
|
Face Detection (F16)
|
100% |
26583
316.1 IPS |
|
|
Face Detection (I8)
|
89% |
20385
242.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
42119
326.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
44371
344.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
35245
273.3 IPS |
|
|
Style Transfer (F32)
|
100% |
192795
253.6 IPS |
|
|
Style Transfer (F16)
|
100% |
195071
256.6 IPS |
|
|
Style Transfer (I8)
|
98% |
180427
237.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32413
1.16 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32046
1.14 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
19759
705.7 IPS |
|
|
Text Classification (F32)
|
100% |
2600
3.74 KIPS |
|
|
Text Classification (F16)
|
100% |
2598
3.73 KIPS |
|
|
Text Classification (I8)
|
98% |
1319
1.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
3457
63.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3495
64.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2144
39.5 IPS |
