iPhone 16 Pro
Geekbench AI Score
6079
Single Precision Score
7161
Half Precision Score
6793
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 09:55 AM |
| 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% |
2993
556.7 IPS |
|
|
Image Classification (HP)
|
100% |
2947
548.1 IPS |
|
|
Image Classification (Q)
|
96% |
3151
588.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4337
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4913
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4733
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15125
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18033
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17148
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3102
246.0 IPS |
|
|
Object Detection (HP)
|
100% |
3427
271.8 IPS |
|
|
Object Detection (Q)
|
92% |
3414
272.5 IPS |
|
|
Face Detection (SP)
|
100% |
7374
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
10529
125.1 IPS |
|
|
Face Detection (Q)
|
100% |
8194
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13062
100.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15121
116.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13883
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31513
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39052
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37847
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7562
279.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8263
305.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7200
265.9 IPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6185
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1251
21.6 IPS |
