iPhone 16
Geekbench AI Score
4036
Single Precision Score
7094
Half Precision Score
5574
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | lirenfei2021 |
| Upload Date | March 15 2025 08:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.3 IPS |
|
|
Image Classification (HP)
|
100% |
3213
597.5 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3254
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7962
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
15426
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13268
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
97% |
3414
271.8 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
6496
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
3737
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6738
51.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12968
100.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8751
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20962
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34251
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27950
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4833
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6645
245.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4283
158.1 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6268
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6198
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3340
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5581
96.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5373
92.9 IPS |
