iPhone 16
Geekbench AI Score
2181
Single Precision Score
18804
Half Precision Score
24146
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 02:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1003
186.5 IPS |
|
|
Image Classification (HP)
|
100% |
7978
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
10678
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10063
163.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13070
211.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4030
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
76008
88.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
154761
181.4 IPS |
|
|
Object Detection (SP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (HP)
|
100% |
8471
671.9 IPS |
|
|
Object Detection (Q)
|
91% |
11459
915.6 IPS |
|
|
Face Detection (SP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
20512
243.7 IPS |
|
|
Face Detection (Q)
|
100% |
28005
332.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3668
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
52023
400.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
90031
703.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10110
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
133071
171.1 IPS |
|
|
Style Transfer (Q)
|
96% |
163733
211.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3389
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29037
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40771
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
2026
2.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3327
4.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3300
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1662
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7797
134.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4902
84.7 IPS |
