iPhone 15
Geekbench AI Score
3228
Single Precision Score
4878
Half Precision Score
4214
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 04:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| 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% |
1472
273.7 IPS |
|
|
Image Classification (HP)
|
100% |
1906
354.4 IPS |
|
|
Image Classification (Q)
|
96% |
1485
277.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1233
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1863
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6309
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
14240
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12233
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2260
179.9 IPS |
|
|
Object Detection (Q)
|
94% |
1732
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
2827
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
2870
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5272
40.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
8613
66.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6506
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17199
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26621
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22136
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3740
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4827
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3649
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2582
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4402
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4318
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2720
46.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4605
79.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4626
79.9 IPS |
