iPhone 16 Pro
Geekbench AI Score
4607
Single Precision Score
7774
Half Precision Score
6169
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 08:54 AM |
| Views | 4 |
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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
3453
642.1 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3272
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9043
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17721
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14949
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2281
180.9 IPS |
|
|
Object Detection (HP)
|
97% |
3722
296.3 IPS |
|
|
Object Detection (Q)
|
94% |
2618
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3714
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
7043
83.7 IPS |
|
|
Face Detection (Q)
|
100% |
4075
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8023
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13759
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9231
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21968
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37125
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30014
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5458
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7142
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5007
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6261
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6271
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4157
71.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7707
133.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7601
131.3 IPS |
