iPhone 15
Geekbench AI Score
3386
Single Precision Score
5994
Half Precision Score
4845
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 01:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.5 IPS |
|
|
Image Classification (Q)
|
96% |
1747
326.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2633
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6301
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
14162
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11901
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2867
228.2 IPS |
|
|
Object Detection (Q)
|
94% |
2016
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5882
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3301
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5635
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11229
86.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7703
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16881
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27582
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22735
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3783
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5066
187.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3741
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4749
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4745
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6282
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6303
108.9 IPS |
