iPhone 15 Plus
Geekbench AI Score
3240
Single Precision Score
4900
Half Precision Score
4240
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Majki77 |
| Upload Date | December 24 2025 03:36 PM |
| Views | 5 |
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% |
1462
271.8 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.9 IPS |
|
|
Image Classification (Q)
|
96% |
1466
273.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1860
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6417
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
14646
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12343
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2261
180.0 IPS |
|
|
Object Detection (Q)
|
94% |
1733
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
2823
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4512
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
2892
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5425
41.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
8634
66.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6508
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17402
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26643
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22441
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3809
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3730
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
2581
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4424
5.90 KIPS |
|
|
Text Classification (Q)
|
93% |
4400
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2641
45.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4630
80.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4646
80.3 IPS |
