iPhone 15
Geekbench AI Score
3553
Single Precision Score
3913
Half Precision Score
3479
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:53 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% |
814
151.4 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.6 IPS |
|
|
Image Classification (Q)
|
96% |
641
119.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2900
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2820
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11788
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12931
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12344
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (Q)
|
92% |
1174
93.7 IPS |
|
|
Face Detection (SP)
|
100% |
4208
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
6492
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
3802
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8893
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8756
67.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
7966
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21351
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23969
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23524
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3801
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3349
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4759
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4830
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
862
14.9 IPS |
