iPhone 15
Geekbench AI Score
3357
Single Precision Score
5980
Half Precision Score
4841
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 24 2025 12:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.6 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6219
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
14046
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11760
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2857
227.4 IPS |
|
|
Object Detection (Q)
|
94% |
2012
160.4 IPS |
|
|
Face Detection (SP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5855
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3301
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5619
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11203
86.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7748
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16783
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27491
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22660
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3771
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4980
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3742
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
2704
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4806
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4740
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6236
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6342
109.6 IPS |
