iPhone 15 Plus
Geekbench AI Score
1615
Single Precision Score
12632
Half Precision Score
14398
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | NyaaKevin |
| Upload Date | December 19 2024 12:17 PM |
| Views | 9 |
| Notes | Low Power Mode 17C |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
619
115.0 IPS |
|
|
Image Classification (HP)
|
100% |
6734
1.25 KIPS |
|
|
Image Classification (Q)
|
97% |
6460
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8854
143.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10427
169.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3008
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
43724
51.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
44949
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (HP)
|
100% |
6754
535.7 IPS |
|
|
Object Detection (Q)
|
91% |
7615
608.5 IPS |
|
|
Face Detection (SP)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
14811
176.0 IPS |
|
|
Face Detection (Q)
|
100% |
18664
221.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2694
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36764
283.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
43278
338.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8030
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
86247
110.9 IPS |
|
|
Style Transfer (Q)
|
96% |
85834
110.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1933
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17180
634.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20003
738.6 IPS |
|
|
Text Classification (SP)
|
100% |
1227
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1488
1.99 KIPS |
|
|
Text Classification (Q)
|
93% |
2326
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1607
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4897
84.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5148
89.0 IPS |
