iPhone 16 Pro
Geekbench AI Score
4680
Single Precision Score
7789
Half Precision Score
6258
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 05:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
3460
643.4 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9259
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17865
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15437
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.2 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.4 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
7171
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
4105
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8155
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13824
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9729
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22808
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37430
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30127
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5360
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7147
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5035
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
6262
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6266
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4208
72.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7617
131.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7639
132.0 IPS |
