iPhone 16 Pro
Geekbench AI Score
4560
Single Precision Score
7719
Half Precision Score
6138
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 29 2025 01:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.7 IPS |
|
|
Image Classification (Q)
|
96% |
2259
421.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3316
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8807
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17312
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14820
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2580
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7452
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4094
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7935
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13901
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9550
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19675
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36187
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29894
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5247
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7247
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5088
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5899
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6030
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4279
73.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7402
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7397
127.8 IPS |
