iPhone 15
Geekbench AI Score
3500
Single Precision Score
6148
Half Precision Score
4977
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 05:22 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% |
1440
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
2572
478.3 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2652
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6647
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
14827
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12479
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2906
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2060
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6038
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3431
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11626
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7894
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17774
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28994
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23871
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3893
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4772
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4725
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6614
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6563
113.4 IPS |
