Acer Predator PHN16-71
Geekbench AI Score
3804
Single Precision Score
1487
Half Precision Score
6343
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 03:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700HX |
| 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% |
3279
609.8 IPS |
|
|
Image Classification (HP)
|
100% |
570
105.9 IPS |
|
|
Image Classification (Q)
|
99% |
5971
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2814
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4444
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4115
4.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
23616
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2840
225.3 IPS |
|
|
Object Detection (HP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
86% |
5970
479.8 IPS |
|
|
Face Detection (SP)
|
100% |
6139
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
1453
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
8864
105.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9064
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2035
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14045
112.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16823
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10168
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16926
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3966
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1636
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1982
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3257
65.4 IPS |
