iPhone 15
Geekbench AI Score
3239
Single Precision Score
5989
Half Precision Score
4862
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:14 PM |
| Views | 4 |
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% |
1340
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.1 IPS |
|
|
Image Classification (Q)
|
96% |
1801
336.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5749
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
13569
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11519
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (HP)
|
97% |
2863
227.9 IPS |
|
|
Object Detection (Q)
|
94% |
1995
159.0 IPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5807
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3293
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5470
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11226
86.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7712
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16069
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26945
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22179
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3488
128.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4945
182.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3720
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2750
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4757
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4783
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3248
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6614
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6662
115.1 IPS |
