iPhone 15
Geekbench AI Score
3565
Single Precision Score
3845
Half Precision Score
3851
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 05:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
932
173.3 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.3 IPS |
|
|
Image Classification (Q)
|
96% |
1173
219.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2751
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11832
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13020
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12533
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.8 IPS |
|
|
Object Detection (HP)
|
100% |
1429
113.4 IPS |
|
|
Object Detection (Q)
|
92% |
1278
102.0 IPS |
|
|
Face Detection (SP)
|
100% |
4425
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
4964
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
5095
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8462
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8850
68.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8098
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21654
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23893
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23379
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3894
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3705
136.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3575
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4777
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4749
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
848
14.6 IPS |
