iPhone 16 Pro
Geekbench AI Score
4668
Single Precision Score
7745
Half Precision Score
6262
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 05:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
3441
639.9 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3315
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9079
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17701
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15266
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
7142
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
4104
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8213
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13767
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9661
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22124
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36454
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30094
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5555
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7160
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5138
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6120
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6118
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7627
131.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7970
137.7 IPS |
