iPhone 15
Geekbench AI Score
1623
Single Precision Score
2767
Half Precision Score
2217
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
620
115.3 IPS |
|
|
Image Classification (HP)
|
100% |
1070
199.0 IPS |
|
|
Image Classification (Q)
|
96% |
745
139.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
996
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1152
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3012
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
6585
7.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
5640
6.61 IPS |
|
|
Object Detection (SP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (HP)
|
97% |
1291
102.8 IPS |
|
|
Object Detection (Q)
|
94% |
900
71.8 IPS |
|
|
Face Detection (SP)
|
100% |
1684
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
2800
33.3 IPS |
|
|
Face Detection (Q)
|
100% |
1494
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2706
20.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5132
39.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
3567
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8126
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12725
16.4 IPS |
|
|
Style Transfer (Q)
|
96% |
10591
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2339
86.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1740
64.3 IPS |
|
|
Text Classification (SP)
|
100% |
1245
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2188
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3085
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3076
53.2 IPS |
