Acer Predator PHN16-71
Geekbench ML Score
3148
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 02 2024 03:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Acer Predator PHN16-71 |
| Motherboard | RPL Compass_RTX |
| 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 | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1614
302.1 IPS |
|
|
Image Classification (F16)
|
100% |
1629
304.8 IPS |
|
|
Image Classification (I8)
|
99% |
2662
498.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1411
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1417
23.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2142
35.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6852
8.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
6868
8.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
19892
24.1 IPS |
|
|
Object Detection (F32)
|
100% |
1538
114.8 IPS |
|
|
Object Detection (F16)
|
100% |
1511
112.8 IPS |
|
|
Object Detection (I8)
|
62% |
1326
99.0 IPS |
|
|
Face Detection (F32)
|
100% |
3420
40.7 IPS |
|
|
Face Detection (F16)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (I8)
|
89% |
3464
41.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6652
51.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6626
51.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
10982
85.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15629
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
15410
20.3 IPS |
|
|
Style Transfer (I8)
|
98% |
18932
24.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2805
100.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2864
102.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3530
126.1 IPS |
|
|
Text Classification (F32)
|
100% |
1054
1.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1082
1.56 KIPS |
|
|
Text Classification (I8)
|
98% |
767
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1428
26.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1448
26.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2252
41.4 IPS |
