Acer Predator PT14-52T
Geekbench AI Score
3105
Single Precision Score
1364
Half Precision Score
6244
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 03:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Predator PT14-52T |
| Motherboard | LNL Mulliner_LNV |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2214
411.7 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.6 IPS |
|
|
Image Classification (Q)
|
99% |
5281
985.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7067
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4894
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3286
3.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
17197
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.2 IPS |
|
|
Object Detection (HP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (Q)
|
86% |
4886
392.7 IPS |
|
|
Face Detection (SP)
|
100% |
6221
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
1552
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
7973
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6434
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2007
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12448
99.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11981
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8757
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20002
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4735
175.3 IPS |
|
|
Text Classification (SP)
|
100% |
1341
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
616
821.7 IPS |
|
|
Text Classification (Q)
|
97% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2514
50.5 IPS |
