iPhone 16
Geekbench AI Score
4394
Single Precision Score
7392
Half Precision Score
5909
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Oh-huthali |
| Upload Date | April 16 2026 04:15 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
3263
606.8 IPS |
|
|
Image Classification (Q)
|
96% |
2233
416.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3179
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8401
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
16782
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14285
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.1 IPS |
|
|
Object Detection (HP)
|
97% |
3697
294.3 IPS |
|
|
Object Detection (Q)
|
94% |
2621
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
3476
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6705
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3842
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7679
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13058
100.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9262
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19480
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35630
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28038
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5175
191.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7016
259.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5024
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6269
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6276
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6348
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6214
107.4 IPS |
