iPhone 16 Pro
Geekbench AI Score
6102
Single Precision Score
7109
Half Precision Score
6801
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3013
560.4 IPS |
|
|
Image Classification (HP)
|
100% |
2744
510.4 IPS |
|
|
Image Classification (Q)
|
96% |
3171
592.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4358
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4921
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4729
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15145
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18056
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17263
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3352
265.9 IPS |
|
|
Object Detection (HP)
|
100% |
3355
266.1 IPS |
|
|
Object Detection (Q)
|
92% |
3444
274.9 IPS |
|
|
Face Detection (SP)
|
100% |
7441
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
10641
126.4 IPS |
|
|
Face Detection (Q)
|
100% |
8326
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13044
100.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15158
116.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13958
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31537
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39146
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38105
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7625
281.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8309
306.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7121
262.9 IPS |
|
|
Text Classification (SP)
|
100% |
3661
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6099
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6054
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1244
21.5 IPS |
