iPhone 15
Geekbench AI Score
3174
Single Precision Score
6003
Half Precision Score
4803
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 05:48 AM |
| Views | 3 |
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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2623
487.8 IPS |
|
|
Image Classification (Q)
|
96% |
1820
339.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2622
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5511
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
13397
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11177
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
97% |
2841
226.2 IPS |
|
|
Object Detection (Q)
|
94% |
1976
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5826
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
3198
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5313
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11262
87.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7601
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15739
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26639
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21443
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3420
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5167
190.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3771
139.2 IPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4738
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4726
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6697
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6680
115.4 IPS |
