iPhone 16
Geekbench AI Score
4275
Single Precision Score
7194
Half Precision Score
5704
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 05:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2018
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
3270
608.2 IPS |
|
|
Image Classification (Q)
|
96% |
2221
414.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2739
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3104
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8037
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
16071
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13774
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2206
174.9 IPS |
|
|
Object Detection (HP)
|
97% |
3601
286.7 IPS |
|
|
Object Detection (Q)
|
94% |
2464
196.4 IPS |
|
|
Face Detection (SP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
6441
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
3691
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7241
55.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12523
96.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8783
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18904
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33607
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26862
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4961
183.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6955
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4751
175.4 IPS |
|
|
Text Classification (SP)
|
100% |
3742
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6253
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6220
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3887
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6081
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6063
104.8 IPS |
