iPhone 16 Pro
Geekbench AI Score
3157
Single Precision Score
3761
Half Precision Score
3590
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 09:26 AM |
| Views | 2 |
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% |
840
156.3 IPS |
|
|
Image Classification (HP)
|
100% |
899
167.1 IPS |
|
|
Image Classification (Q)
|
96% |
788
147.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3050
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3741
60.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3576
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6735
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
8827
10.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
8202
9.61 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (Q)
|
92% |
1397
111.5 IPS |
|
|
Face Detection (SP)
|
100% |
4485
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
6163
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
4620
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7154
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6779
52.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
7066
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20298
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27958
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27324
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3705
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3576
132.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4088
150.9 IPS |
|
|
Text Classification (SP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (HP)
|
99% |
2572
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2562
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1179
20.4 IPS |
