iPhone 16
Geekbench AI Score
4464
Single Precision Score
33802
Half Precision Score
45805
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | December 29 2025 06:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
14787
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
19033
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18136
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23588
382.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9016
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153129
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294189
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (HP)
|
100% |
15534
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21332
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
40776
484.5 IPS |
|
|
Face Detection (Q)
|
100% |
55379
658.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7852
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94980
731.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
158029
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20265
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
242726
312.0 IPS |
|
|
Style Transfer (Q)
|
96% |
295196
380.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5156
190.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52516
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80916
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6305
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6315
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9809
169.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10932
188.9 IPS |
