iPhone 16 Pro
Geekbench AI Score
4797
Single Precision Score
5517
Half Precision Score
5206
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 10:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
843
156.8 IPS |
|
|
Image Classification (HP)
|
100% |
926
172.2 IPS |
|
|
Image Classification (Q)
|
96% |
817
152.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4258
69.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4723
76.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4725
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15555
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16777
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16755
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (Q)
|
92% |
1649
131.7 IPS |
|
|
Face Detection (SP)
|
100% |
7680
91.3 IPS |
|
|
Face Detection (HP)
|
100% |
10221
121.4 IPS |
|
|
Face Detection (Q)
|
100% |
8426
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13536
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14779
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13896
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32781
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38701
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38677
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4555
168.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4213
155.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4054
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5968
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5901
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1267
21.9 IPS |
