iPhone 16 Pro
Geekbench AI Score
4724
Single Precision Score
7897
Half Precision Score
6362
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | January 04 2026 05:36 AM |
| Views | 9 |
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% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
3436
639.0 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2827
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3311
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9608
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18907
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15960
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3734
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7217
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
4158
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8340
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13862
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9808
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23256
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37991
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31815
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7210
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5180
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6265
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6245
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4277
73.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7955
137.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7922
136.9 IPS |
