iPhone 15
Geekbench AI Score
3730
Single Precision Score
3916
Half Precision Score
3871
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:22 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% |
1253
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
868
161.4 IPS |
|
|
Image Classification (Q)
|
96% |
1169
218.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2900
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2797
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11930
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12898
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12521
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
1377
109.3 IPS |
|
|
Object Detection (Q)
|
92% |
1257
100.3 IPS |
|
|
Face Detection (SP)
|
100% |
4336
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
4697
55.8 IPS |
|
|
Face Detection (Q)
|
100% |
4907
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8425
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8951
69.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8219
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21235
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23862
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23066
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4094
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3982
147.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3332
123.0 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4756
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4738
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1001
17.3 IPS |
