iPhone 16
Geekbench AI Score
4411
Single Precision Score
33838
Half Precision Score
45279
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 02:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
14818
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
18970
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18052
292.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23626
383.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8596
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
150502
175.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
294115
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
15626
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21696
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3503
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
41102
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
50405
598.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7724
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94420
727.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
152710
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
19218
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244088
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296219
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5057
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52765
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81075
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3726
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6343
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6302
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3879
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9870
170.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10872
187.9 IPS |
