iPhone 15 Plus
Geekbench AI Score
3311
Single Precision Score
6086
Half Precision Score
4932
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | zmafreak |
| Upload Date | September 28 2025 06:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
2590
481.7 IPS |
|
|
Image Classification (Q)
|
96% |
1807
337.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5986
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
14159
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11882
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
97% |
2870
228.5 IPS |
|
|
Object Detection (Q)
|
94% |
2029
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5940
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3306
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5660
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11690
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7895
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16559
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27357
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22539
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3586
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3831
141.4 IPS |
|
|
Text Classification (SP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4743
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4746
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6820
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6833
118.1 IPS |
