iPhone 15 Plus
Geekbench AI Score
3489
Single Precision Score
6160
Half Precision Score
5001
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 11:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1375
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.6 IPS |
|
|
Image Classification (Q)
|
96% |
1769
330.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2645
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6664
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
14893
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12595
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2064
164.5 IPS |
|
|
Face Detection (SP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6035
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3435
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5984
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11510
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7963
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17611
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29144
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23832
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3956
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5135
189.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3874
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
2678
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4905
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4826
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6609
114.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6606
114.2 IPS |
