iPhone 16 Pro
Geekbench AI Score
5961
Single Precision Score
7089
Half Precision Score
6662
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2882
535.9 IPS |
|
|
Image Classification (HP)
|
100% |
3037
564.8 IPS |
|
|
Image Classification (Q)
|
96% |
3118
582.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4325
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4853
78.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4665
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15038
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17523
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16737
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3127
248.0 IPS |
|
|
Object Detection (HP)
|
100% |
3341
265.0 IPS |
|
|
Object Detection (Q)
|
92% |
3156
251.9 IPS |
|
|
Face Detection (SP)
|
100% |
7365
87.5 IPS |
|
|
Face Detection (HP)
|
100% |
10470
124.4 IPS |
|
|
Face Detection (Q)
|
100% |
8032
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12979
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14879
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
14003
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30888
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39016
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38496
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7438
274.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8114
299.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6976
257.6 IPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6149
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6095
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1218
21.0 IPS |
