iPhone 16 Pro
Geekbench AI Score
2292
Single Precision Score
4156
Half Precision Score
3252
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 17 2025 12:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1035
192.4 IPS |
|
|
Image Classification (HP)
|
100% |
1871
348.0 IPS |
|
|
Image Classification (Q)
|
96% |
1238
231.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1780
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4403
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
8947
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
7759
9.09 IPS |
|
|
Object Detection (SP)
|
100% |
1177
93.4 IPS |
|
|
Object Detection (HP)
|
97% |
2082
165.8 IPS |
|
|
Object Detection (Q)
|
94% |
1404
111.9 IPS |
|
|
Face Detection (SP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
3909
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
2185
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4125
31.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
7565
58.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5393
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11176
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20173
25.9 IPS |
|
|
Style Transfer (Q)
|
96% |
16767
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2761
101.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2819
104.1 IPS |
|
|
Text Classification (SP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (HP)
|
99% |
3310
4.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3274
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2009
34.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3851
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3028
52.3 IPS |
