iPhone 15
Geekbench AI Score
3448
Single Precision Score
6101
Half Precision Score
4937
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 28 2025 08:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
2616
486.4 IPS |
|
|
Image Classification (Q)
|
96% |
1804
336.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6344
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
14033
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11858
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1512
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2909
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5919
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3308
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5748
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11379
88.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7755
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16880
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27806
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22830
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3795
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5146
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3801
140.3 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4776
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4765
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6840
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6906
119.3 IPS |
