iPhone 15
Geekbench AI Score
3253
Single Precision Score
6114
Half Precision Score
4956
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ZMALZAHRANI |
| Upload Date | April 19 2026 12:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
2623
487.7 IPS |
|
|
Image Classification (Q)
|
96% |
1804
336.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5848
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
14001
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11744
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
5927
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
3347
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5550
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11544
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7933
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16694
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27893
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23107
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3651
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5009
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3858
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4730
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3290
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6817
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6856
118.5 IPS |
