Acer Predator PH16-72
Geekbench ML Score
15526
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2024 10:00 PM |
| Views | 3 |
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 | 64.0 KB x 16 |
| L1 Data Cache | 32.0 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% |
8607
1.61 KIPS |
|
|
Image Classification (F16)
|
100% |
7610
1.42 KIPS |
|
|
Image Classification (I8)
|
100% |
7551
1.41 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10099
168.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
11088
185.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
9955
166.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
114173
138.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
114164
138.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
105932
128.3 IPS |
|
|
Object Detection (F32)
|
100% |
5523
412.4 IPS |
|
|
Object Detection (F16)
|
100% |
4934
368.3 IPS |
|
|
Object Detection (I8)
|
63% |
5315
396.8 IPS |
|
|
Face Detection (F32)
|
100% |
22695
269.8 IPS |
|
|
Face Detection (F16)
|
100% |
21766
258.8 IPS |
|
|
Face Detection (I8)
|
89% |
21713
258.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
49769
386.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
38774
300.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
35185
272.9 IPS |
|
|
Style Transfer (F32)
|
100% |
184743
243.0 IPS |
|
|
Style Transfer (F16)
|
100% |
165657
217.9 IPS |
|
|
Style Transfer (I8)
|
98% |
168982
222.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19701
703.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24648
880.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16684
595.8 IPS |
|
|
Text Classification (F32)
|
100% |
2380
3.42 KIPS |
|
|
Text Classification (F16)
|
100% |
2362
3.39 KIPS |
|
|
Text Classification (I8)
|
98% |
1233
1.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
3347
61.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3398
62.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2034
37.4 IPS |
