Acer Predator PHN14-51
Geekbench AI Score
2957
Single Precision Score
1200
Half Precision Score
4712
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 09:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PHN14-51 |
| Motherboard | MTL Taycan_MTH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2366
439.9 IPS |
|
|
Image Classification (HP)
|
100% |
435
81.0 IPS |
|
|
Image Classification (Q)
|
99% |
4363
813.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4731
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5263
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3480
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
19641
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
2227
176.7 IPS |
|
|
Object Detection (HP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (Q)
|
86% |
4275
343.5 IPS |
|
|
Face Detection (SP)
|
100% |
6024
71.6 IPS |
|
|
Face Detection (HP)
|
100% |
1223
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
6782
80.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6642
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1754
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11475
91.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12481
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8450
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15888
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2128
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3727
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
541
722.3 IPS |
|
|
Text Classification (Q)
|
97% |
392
525.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
1725
34.7 IPS |
