iPhone 16 Pro
Geekbench AI Score
2566
Single Precision Score
4595
Half Precision Score
3653
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | April 12 2026 04:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1112
206.9 IPS |
|
|
Image Classification (HP)
|
100% |
1896
352.7 IPS |
|
|
Image Classification (Q)
|
96% |
1231
229.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
876
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1831
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4103
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
9995
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
8726
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (HP)
|
97% |
2146
170.9 IPS |
|
|
Object Detection (Q)
|
94% |
1518
121.0 IPS |
|
|
Face Detection (SP)
|
100% |
2123
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
4027
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
2288
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4100
31.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
7824
60.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5490
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11688
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21117
27.1 IPS |
|
|
Style Transfer (Q)
|
96% |
17378
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3077
113.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4072
150.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2829
104.5 IPS |
|
|
Text Classification (SP)
|
99% |
3834
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5987
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5915
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1921
33.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3853
66.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3884
67.1 IPS |
