iPhone 15 Plus
Geekbench AI Score
3158
Single Precision Score
4814
Half Precision Score
4139
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 03:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1466
272.6 IPS |
|
|
Image Classification (HP)
|
100% |
1930
358.9 IPS |
|
|
Image Classification (Q)
|
96% |
1471
274.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1843
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5900
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
13798
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11658
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2231
177.6 IPS |
|
|
Object Detection (Q)
|
94% |
1703
135.7 IPS |
|
|
Face Detection (SP)
|
100% |
2763
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
4394
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
2796
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5189
40.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
8442
65.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6314
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16672
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26620
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21883
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3648
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4747
175.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3627
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
2567
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4349
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4332
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4533
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4524
78.2 IPS |
