Acer Predator PHN14-51
Geekbench AI Score
18427
Single Precision Score
29283
Half Precision Score
14577
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 09:45 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% |
6978
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
10779
2.01 KIPS |
|
|
Image Classification (Q)
|
100% |
6417
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13795
223.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18472
299.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12333
200.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
107953
126.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
295441
344.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
96616
113.2 IPS |
|
|
Object Detection (SP)
|
100% |
8716
691.4 IPS |
|
|
Object Detection (HP)
|
100% |
13882
1.10 KIPS |
|
|
Object Detection (Q)
|
85% |
7629
614.1 IPS |
|
|
Face Detection (SP)
|
100% |
21708
257.9 IPS |
|
|
Face Detection (HP)
|
100% |
34097
405.1 IPS |
|
|
Face Detection (Q)
|
97% |
19412
231.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
47788
368.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82176
633.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
37393
298.8 IPS |
|
|
Style Transfer (SP)
|
100% |
176979
227.5 IPS |
|
|
Style Transfer (HP)
|
100% |
418572
538.1 IPS |
|
|
Style Transfer (Q)
|
98% |
159061
205.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32072
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44424
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23272
861.7 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
2833
3.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1576
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3847
66.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1754
32.9 IPS |
