iPhone 16
Geekbench AI Score
4406
Single Precision Score
4761
Half Precision Score
4837
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 09:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
737
137.0 IPS |
|
|
Image Classification (HP)
|
100% |
774
144.0 IPS |
|
|
Image Classification (Q)
|
96% |
920
171.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3767
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3863
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3879
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13552
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13874
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13785
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2106
167.0 IPS |
|
|
Object Detection (HP)
|
100% |
1715
136.0 IPS |
|
|
Object Detection (Q)
|
92% |
1959
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
7033
83.6 IPS |
|
|
Face Detection (HP)
|
100% |
9172
109.0 IPS |
|
|
Face Detection (Q)
|
100% |
7026
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11394
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12067
93.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11324
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29720
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31455
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31486
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4152
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4246
156.8 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6032
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5972
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1147
19.8 IPS |
