iPhone 15
Geekbench AI Score
3395
Single Precision Score
6011
Half Precision Score
4863
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 09:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1430
265.9 IPS |
|
|
Image Classification (HP)
|
100% |
2555
475.2 IPS |
|
|
Image Classification (Q)
|
96% |
1756
327.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2644
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6217
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
14038
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11730
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
97% |
2905
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2024
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5887
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3335
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5662
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11434
88.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7843
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16771
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27989
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22723
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3861
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5121
189.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3844
141.9 IPS |
|
|
Text Classification (SP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4803
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4794
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6029
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6136
106.0 IPS |
