iPhone 15
Geekbench AI Score
1610
Single Precision Score
13719
Half Precision Score
14709
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 06:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
606
112.7 IPS |
|
|
Image Classification (HP)
|
100% |
6624
1.23 KIPS |
|
|
Image Classification (Q)
|
97% |
6821
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9615
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10898
176.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2941
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
45703
53.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
44898
52.6 IPS |
|
|
Object Detection (SP)
|
100% |
667
52.9 IPS |
|
|
Object Detection (HP)
|
100% |
7122
564.9 IPS |
|
|
Object Detection (Q)
|
91% |
7825
625.2 IPS |
|
|
Face Detection (SP)
|
100% |
1696
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
17094
203.1 IPS |
|
|
Face Detection (Q)
|
100% |
18700
222.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2653
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
36926
284.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
43874
343.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8096
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
88329
113.5 IPS |
|
|
Style Transfer (Q)
|
96% |
91558
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17782
656.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20998
775.4 IPS |
|
|
Text Classification (SP)
|
100% |
1239
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2206
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1641
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5053
87.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5219
90.2 IPS |
