iPhone 15
Geekbench AI Score
3617
Single Precision Score
3848
Half Precision Score
3819
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | nygwhsicloud |
| Upload Date | October 04 2025 09:00 PM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
880
163.6 IPS |
|
|
Image Classification (HP)
|
100% |
709
131.9 IPS |
|
|
Image Classification (Q)
|
96% |
1173
219.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2720
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11871
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12864
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12484
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (Q)
|
92% |
1324
105.6 IPS |
|
|
Face Detection (SP)
|
100% |
5533
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
4877
57.9 IPS |
|
|
Face Detection (Q)
|
100% |
4055
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8390
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8788
67.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8067
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21210
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23808
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23115
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3965
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3929
145.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3467
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4804
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4709
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1015
17.5 IPS |
