iPhone 16 Pro
Geekbench AI Score
6129
Single Precision Score
7001
Half Precision Score
6775
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 12:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2974
553.0 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.5 IPS |
|
|
Image Classification (Q)
|
96% |
3151
588.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4421
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4915
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4738
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15649
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17151
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16925
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3177
252.0 IPS |
|
|
Object Detection (HP)
|
100% |
3526
279.7 IPS |
|
|
Object Detection (Q)
|
92% |
3120
249.0 IPS |
|
|
Face Detection (SP)
|
100% |
7897
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
10608
126.1 IPS |
|
|
Face Detection (Q)
|
100% |
8530
101.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13588
104.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14836
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13840
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33021
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38948
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39164
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8015
295.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8249
304.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7534
278.2 IPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5879
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1272
22.0 IPS |
