Acer Predator PHN16-71
Geekbench AI Score
13135
Single Precision Score
22531
Half Precision Score
10268
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 03:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Predator PHN16-71 |
| Motherboard | RPL Compass_RTX |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4731
879.7 IPS |
|
|
Image Classification (HP)
|
99% |
9121
1.70 KIPS |
|
|
Image Classification (Q)
|
99% |
4389
818.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9118
147.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12795
207.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8689
141.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
68751
80.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
199698
233.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
60997
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
6291
499.0 IPS |
|
|
Object Detection (HP)
|
100% |
11575
918.1 IPS |
|
|
Object Detection (Q)
|
84% |
5527
445.8 IPS |
|
|
Face Detection (SP)
|
100% |
14038
166.8 IPS |
|
|
Face Detection (HP)
|
100% |
25711
305.5 IPS |
|
|
Face Detection (Q)
|
97% |
11992
143.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
30755
236.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56291
433.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
26371
211.0 IPS |
|
|
Style Transfer (SP)
|
100% |
112414
144.5 IPS |
|
|
Style Transfer (HP)
|
100% |
273914
352.1 IPS |
|
|
Style Transfer (Q)
|
98% |
97932
126.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22148
817.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33109
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15814
585.6 IPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
3462
4.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1527
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2620
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2751
47.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1356
25.4 IPS |
