Acer Predator PHN18-71
Geekbench AI Score
3277
Single Precision Score
1210
Half Precision Score
3989
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | melonf |
| Upload Date | October 07 2024 08:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PHN18-71 |
| Motherboard | RPL IPACE_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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1918
356.6 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (Q)
|
99% |
3136
585.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2759
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7680
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3463
4.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
23904
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2105
167.0 IPS |
|
|
Object Detection (HP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (Q)
|
88% |
1803
144.5 IPS |
|
|
Face Detection (SP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
4040
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7238
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1674
12.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
8452
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17438
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8598
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22872
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2927
108.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1647
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3911
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
525
700.2 IPS |
|
|
Text Classification (Q)
|
97% |
430
576.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.91 IPS |
|
|
Machine Translation (Q)
|
60% |
2086
46.5 IPS |
