Acer Predator PH18-71
Geekbench ML Score
14617
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 28 2024 01:48 AM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PH18-71 |
| Motherboard | RPL EQS_RTX |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| 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% |
6163
1.15 KIPS |
|
|
Image Classification (F16)
|
100% |
5625
1.05 KIPS |
|
|
Image Classification (I8)
|
100% |
6488
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9988
166.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
10051
167.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
8979
150.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
113606
137.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
115473
139.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
101557
123.0 IPS |
|
|
Object Detection (F32)
|
100% |
4756
355.1 IPS |
|
|
Object Detection (F16)
|
100% |
4972
371.2 IPS |
|
|
Object Detection (I8)
|
63% |
4424
330.3 IPS |
|
|
Face Detection (F32)
|
100% |
23388
278.1 IPS |
|
|
Face Detection (F16)
|
100% |
21717
258.2 IPS |
|
|
Face Detection (I8)
|
89% |
19510
232.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
37701
292.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
38101
295.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
32404
251.3 IPS |
|
|
Style Transfer (F32)
|
100% |
210509
276.9 IPS |
|
|
Style Transfer (F16)
|
100% |
193564
254.6 IPS |
|
|
Style Transfer (I8)
|
98% |
163213
214.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29826
1.07 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31890
1.14 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
16887
603.1 IPS |
|
|
Text Classification (F32)
|
100% |
1773
2.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1836
2.64 KIPS |
|
|
Text Classification (I8)
|
98% |
942
1.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
3209
59.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3170
58.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2035
37.4 IPS |
