iPhone 16
Geekbench AI Score
4333
Single Precision Score
7247
Half Precision Score
5804
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Osoczer |
| Upload Date | March 05 2026 08:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
3277
609.4 IPS |
|
|
Image Classification (Q)
|
96% |
2226
415.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2699
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3114
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8508
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
16440
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14249
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (HP)
|
97% |
3668
292.0 IPS |
|
|
Object Detection (Q)
|
94% |
2534
201.9 IPS |
|
|
Face Detection (SP)
|
100% |
3405
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6601
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3780
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7568
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
12821
99.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9042
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19009
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35581
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28357
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5146
190.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6881
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4898
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3623
4.84 KIPS |
|
|
Text Classification (HP)
|
99% |
6005
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6024
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3863
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6024
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6066
104.8 IPS |
