iPhone 16 Pro
Geekbench AI Score
6127
Single Precision Score
7264
Half Precision Score
6849
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2952
548.9 IPS |
|
|
Image Classification (HP)
|
100% |
2965
551.4 IPS |
|
|
Image Classification (Q)
|
96% |
3139
586.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4378
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4931
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4778
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15208
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18340
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17484
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
3388
268.7 IPS |
|
|
Object Detection (HP)
|
100% |
3405
270.1 IPS |
|
|
Object Detection (Q)
|
92% |
3243
258.9 IPS |
|
|
Face Detection (SP)
|
100% |
7613
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
10779
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
8687
103.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13080
100.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15868
122.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14459
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31518
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39678
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39133
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7552
278.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8260
305.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7160
264.4 IPS |
|
|
Text Classification (SP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6155
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6081
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1249
21.6 IPS |
