iPhone 16
Geekbench AI Score
4504
Single Precision Score
7526
Half Precision Score
6022
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 10:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
3225
599.7 IPS |
|
|
Image Classification (Q)
|
96% |
2219
414.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2696
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3125
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9157
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18036
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15418
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
97% |
3766
299.8 IPS |
|
|
Object Detection (Q)
|
94% |
2631
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6901
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3852
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7926
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13736
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9578
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20633
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36548
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29718
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7040
259.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5041
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
3759
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
6476
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6467
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6257
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6246
107.9 IPS |
