iPhone 16
Geekbench AI Score
4432
Single Precision Score
7476
Half Precision Score
5971
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | December 29 2025 06:18 AM |
| Views | 4 |
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% |
2011
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
3271
608.4 IPS |
|
|
Image Classification (Q)
|
96% |
2233
417.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3188
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8595
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17528
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14773
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
97% |
3702
294.7 IPS |
|
|
Object Detection (Q)
|
94% |
2624
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6791
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3889
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7736
59.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13448
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9360
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19836
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36384
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29070
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5325
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7045
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6278
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6272
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6311
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6281
108.5 IPS |
