iPhone 15
Geekbench AI Score
3461
Single Precision Score
6094
Half Precision Score
4951
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 11 2025 07:16 PM |
| Views | 1 |
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% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
2553
474.7 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2639
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6577
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
14277
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12180
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2892
230.2 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
5991
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3391
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5795
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11433
88.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7850
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17427
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28602
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23504
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3828
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5101
188.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3887
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
2678
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4801
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4764
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3615
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6606
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6566
113.5 IPS |
