Acer Predator PHN16-71
Geekbench AI Score
12697
Single Precision Score
20715
Half Precision Score
9340
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 07:08 AM |
| Views | 51 |
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% |
4780
888.9 IPS |
|
|
Image Classification (HP)
|
99% |
10073
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
4795
891.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8200
132.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10031
162.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7165
116.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
65978
77.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
183979
214.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
60064
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
5994
475.4 IPS |
|
|
Object Detection (HP)
|
100% |
7625
604.8 IPS |
|
|
Object Detection (Q)
|
89% |
4333
346.8 IPS |
|
|
Face Detection (SP)
|
100% |
13015
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
19731
234.5 IPS |
|
|
Face Detection (Q)
|
97% |
9882
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27246
209.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
61214
471.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
23497
188.8 IPS |
|
|
Style Transfer (SP)
|
100% |
117038
150.5 IPS |
|
|
Style Transfer (HP)
|
100% |
285980
367.6 IPS |
|
|
Style Transfer (Q)
|
98% |
102123
131.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21211
783.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28805
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17476
647.1 IPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1224
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2637
45.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1114
24.9 IPS |
