Acer Predator PHN14-51
Geekbench AI Score
18294
Single Precision Score
29202
Half Precision Score
14558
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 09:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
7100
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
10483
1.96 KIPS |
|
|
Image Classification (Q)
|
100% |
6523
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13564
219.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17763
288.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12094
196.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
107687
125.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
297592
347.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
95297
111.7 IPS |
|
|
Object Detection (SP)
|
100% |
8735
692.9 IPS |
|
|
Object Detection (HP)
|
100% |
13902
1.10 KIPS |
|
|
Object Detection (Q)
|
85% |
7709
620.6 IPS |
|
|
Face Detection (SP)
|
100% |
21790
258.9 IPS |
|
|
Face Detection (HP)
|
100% |
34764
413.1 IPS |
|
|
Face Detection (Q)
|
97% |
19337
230.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
47310
364.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
82789
637.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
37878
302.7 IPS |
|
|
Style Transfer (SP)
|
100% |
171843
220.9 IPS |
|
|
Style Transfer (HP)
|
100% |
424877
546.2 IPS |
|
|
Style Transfer (Q)
|
98% |
161231
207.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31642
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44992
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22869
846.8 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
2736
3.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1554
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3890
67.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1759
33.0 IPS |
