iPhone 15
Geekbench AI Score
3524
Single Precision Score
3860
Half Precision Score
3844
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KipR |
| Upload Date | October 25 2025 11:08 PM |
| Views | 6 |
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% |
831
154.5 IPS |
|
|
Image Classification (HP)
|
100% |
713
132.5 IPS |
|
|
Image Classification (Q)
|
96% |
1196
223.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2824
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11974
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13042
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12610
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.8 IPS |
|
|
Object Detection (HP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (Q)
|
92% |
1316
105.0 IPS |
|
|
Face Detection (SP)
|
100% |
4558
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
4884
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
4314
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8631
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8873
68.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8318
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21216
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23817
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23359
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3831
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3953
146.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3664
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4846
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4728
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
867
15.0 IPS |
