iPhone 15
Geekbench AI Score
3373
Single Precision Score
6194
Half Precision Score
5033
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1359
252.7 IPS |
|
|
Image Classification (HP)
|
100% |
2601
483.7 IPS |
|
|
Image Classification (Q)
|
96% |
1801
336.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2692
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6156
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
14697
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12290
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
97% |
2917
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2081
165.9 IPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6078
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3481
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5780
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11598
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7983
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17221
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28395
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23475
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5213
192.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3881
143.3 IPS |
|
|
Text Classification (SP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4787
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4767
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6966
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6970
120.5 IPS |
