iPhone 16 Pro
Geekbench AI Score
6182
Single Precision Score
6818
Half Precision Score
6863
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 06 2025 04:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2920
543.1 IPS |
|
|
Image Classification (HP)
|
100% |
1795
333.9 IPS |
|
|
Image Classification (Q)
|
96% |
3145
587.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4464
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4907
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4751
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15817
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17303
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17280
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3215
255.0 IPS |
|
|
Object Detection (HP)
|
100% |
3399
269.6 IPS |
|
|
Object Detection (Q)
|
92% |
3191
254.7 IPS |
|
|
Face Detection (SP)
|
100% |
8123
96.5 IPS |
|
|
Face Detection (HP)
|
100% |
10879
129.3 IPS |
|
|
Face Detection (Q)
|
100% |
9042
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14191
109.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15756
121.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14086
110.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33183
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39077
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38334
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8126
300.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8245
304.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7629
281.7 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5934
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5916
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1277
22.1 IPS |
