iPhone 16
Geekbench AI Score
4358
Single Precision Score
7320
Half Precision Score
5749
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
3294
612.5 IPS |
|
|
Image Classification (Q)
|
96% |
2217
414.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2705
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3101
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8227
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
16592
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13690
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
97% |
3555
283.0 IPS |
|
|
Object Detection (Q)
|
94% |
2390
190.5 IPS |
|
|
Face Detection (SP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6644
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3629
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7510
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12984
100.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8988
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19752
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34786
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28228
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5146
190.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6988
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4838
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6261
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6298
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3928
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6402
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6254
108.1 IPS |
