iPhone 15
Geekbench AI Score
3567
Single Precision Score
3861
Half Precision Score
3670
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 11 2025 11:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
768
142.8 IPS |
|
|
Image Classification (HP)
|
100% |
746
138.8 IPS |
|
|
Image Classification (Q)
|
96% |
1174
219.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2770
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11866
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12877
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12544
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
100% |
1406
111.6 IPS |
|
|
Object Detection (Q)
|
92% |
1345
107.4 IPS |
|
|
Face Detection (SP)
|
100% |
4829
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
4757
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
4180
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8485
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8777
67.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8303
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21065
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24142
31.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23617
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3867
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3934
145.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2424
89.5 IPS |
|
|
Text Classification (SP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4722
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4721
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
863
14.9 IPS |
