iPhone 16 Pro
Geekbench AI Score
4734
Single Precision Score
7882
Half Precision Score
6291
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 06:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2067
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
3485
648.1 IPS |
|
|
Image Classification (Q)
|
96% |
2339
436.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3316
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9581
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18551
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15431
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2360
187.2 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
3772
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
7331
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4198
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8239
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13908
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9795
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23207
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38333
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31181
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5559
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7207
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5026
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6096
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6061
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7862
135.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7798
134.8 IPS |
