iPhone 16 Pro
Geekbench AI Score
4737
Single Precision Score
5529
Half Precision Score
5212
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 07:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
875
162.8 IPS |
|
|
Image Classification (HP)
|
100% |
924
171.8 IPS |
|
|
Image Classification (Q)
|
96% |
807
150.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4293
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4946
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4761
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15186
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17985
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17106
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.9 IPS |
|
|
Object Detection (HP)
|
100% |
1720
136.5 IPS |
|
|
Object Detection (Q)
|
92% |
1626
129.8 IPS |
|
|
Face Detection (SP)
|
100% |
7480
88.9 IPS |
|
|
Face Detection (HP)
|
100% |
10311
122.5 IPS |
|
|
Face Detection (Q)
|
100% |
8380
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13156
101.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15632
120.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14405
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31615
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39436
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38062
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4464
164.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4014
148.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4038
149.1 IPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6105
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6067
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1232
21.3 IPS |
