iPhone 16
Geekbench AI Score
4468
Single Precision Score
7454
Half Precision Score
5962
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2041
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
3272
608.5 IPS |
|
|
Image Classification (Q)
|
96% |
2240
418.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3123
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8850
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17385
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14855
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
97% |
3732
297.1 IPS |
|
|
Object Detection (Q)
|
94% |
2599
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6731
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3879
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7843
60.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13527
104.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9432
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20320
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35773
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29167
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5391
199.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6972
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4936
182.3 IPS |
|
|
Text Classification (SP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6306
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6271
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6377
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6366
110.0 IPS |
