iPhone 16 Pro
Geekbench AI Score
4649
Single Precision Score
7798
Half Precision Score
6238
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:22 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% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
3493
649.5 IPS |
|
|
Image Classification (Q)
|
96% |
2329
434.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2796
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3278
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9307
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17901
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15059
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.4 IPS |
|
|
Object Detection (HP)
|
97% |
3742
297.9 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
7275
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
4101
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8127
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13708
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9591
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22356
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37191
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29812
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5494
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7171
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5175
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
3741
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6156
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6144
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4183
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7766
134.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7799
134.8 IPS |
