iPhone 15
Geekbench AI Score
3262
Single Precision Score
6006
Half Precision Score
4891
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mgoc |
| Upload Date | September 23 2025 02:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1355
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
2606
484.7 IPS |
|
|
Image Classification (Q)
|
96% |
1805
337.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2687
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5873
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
13726
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11499
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1391
110.3 IPS |
|
|
Object Detection (HP)
|
97% |
2857
227.4 IPS |
|
|
Object Detection (Q)
|
94% |
2027
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5882
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3279
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5541
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11380
88.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7836
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16384
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26934
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22325
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3522
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4926
181.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3750
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4766
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4752
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6657
115.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6790
117.3 IPS |
