iPhone 16
Geekbench AI Score
4342
Single Precision Score
4772
Half Precision Score
4624
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 19 2025 09:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
765
142.3 IPS |
|
|
Image Classification (HP)
|
100% |
796
147.9 IPS |
|
|
Image Classification (Q)
|
96% |
709
132.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3892
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4078
66.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3959
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13029
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14490
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14107
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (HP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (Q)
|
92% |
1608
128.3 IPS |
|
|
Face Detection (SP)
|
100% |
7138
84.8 IPS |
|
|
Face Detection (HP)
|
100% |
9234
109.7 IPS |
|
|
Face Detection (Q)
|
100% |
7133
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11221
86.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11967
92.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11333
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28611
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31844
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31254
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4698
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3443
127.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4024
148.6 IPS |
|
|
Text Classification (SP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6044
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6012
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1118
19.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1150
19.9 IPS |
