iPhone 16 Pro
Geekbench AI Score
4601
Single Precision Score
7749
Half Precision Score
6172
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 11:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3398
631.9 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3329
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8883
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17789
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14969
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2628
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7457
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4117
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8052
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13836
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9577
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20142
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36388
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30030
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5346
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7256
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5104
188.5 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6021
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5997
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4268
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7420
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7453
128.8 IPS |
