iPhone 15
Geekbench AI Score
3238
Single Precision Score
6023
Half Precision Score
4880
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 26 2025 07:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
2623
487.8 IPS |
|
|
Image Classification (Q)
|
96% |
1804
336.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2610
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5634
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
13318
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11385
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (HP)
|
97% |
2800
222.9 IPS |
|
|
Object Detection (Q)
|
94% |
1988
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5888
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3305
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5485
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11341
87.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7756
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16708
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27369
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22385
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3522
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3861
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
2754
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4783
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4745
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6782
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6850
118.4 IPS |
