iPhone 16 Pro
Geekbench AI Score
4672
Single Precision Score
5530
Half Precision Score
5158
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 08:00 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
838
155.8 IPS |
|
|
Image Classification (HP)
|
100% |
886
164.8 IPS |
|
|
Image Classification (Q)
|
96% |
797
148.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4189
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4946
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4766
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15217
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18236
21.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17517
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1625
128.9 IPS |
|
|
Object Detection (HP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (Q)
|
92% |
1618
129.2 IPS |
|
|
Face Detection (SP)
|
100% |
7582
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
10647
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
8576
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13061
100.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15295
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13651
106.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31773
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39963
51.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39118
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4401
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4009
148.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3644
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6199
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6071
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1224
21.2 IPS |
