Acer Predator PHN16-71
Geekbench ML Score
11075
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 04:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Predator PHN16-71 |
| Motherboard | RPL Compass_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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4746
888.1 IPS |
|
|
Image Classification (F16)
|
100% |
4685
876.7 IPS |
|
|
Image Classification (I8)
|
100% |
4966
929.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
8035
134.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8099
135.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7565
126.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
70539
85.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
68482
82.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
61852
74.9 IPS |
|
|
Object Detection (F32)
|
100% |
4473
333.9 IPS |
|
|
Object Detection (F16)
|
100% |
4212
314.4 IPS |
|
|
Object Detection (I8)
|
61% |
4167
311.1 IPS |
|
|
Face Detection (F32)
|
100% |
14998
178.3 IPS |
|
|
Face Detection (F16)
|
100% |
14981
178.1 IPS |
|
|
Face Detection (I8)
|
89% |
12886
153.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
26864
208.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
26873
208.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
25397
197.0 IPS |
|
|
Style Transfer (F32)
|
100% |
104146
137.0 IPS |
|
|
Style Transfer (F16)
|
100% |
100292
131.9 IPS |
|
|
Style Transfer (I8)
|
98% |
92669
121.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18223
650.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18391
656.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14321
511.4 IPS |
|
|
Text Classification (F32)
|
100% |
2117
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
2153
3.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1119
1.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
2834
52.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2821
51.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1671
30.8 IPS |
