iPhone 16
Geekbench AI Score
4361
Single Precision Score
7351
Half Precision Score
5853
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 09:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2052
381.5 IPS |
|
|
Image Classification (HP)
|
100% |
3278
609.7 IPS |
|
|
Image Classification (Q)
|
96% |
2230
416.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2768
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3206
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8414
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
16788
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14162
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.8 IPS |
|
|
Object Detection (HP)
|
97% |
3664
291.7 IPS |
|
|
Object Detection (Q)
|
94% |
2536
202.2 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6616
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3733
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7518
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13164
101.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9032
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19710
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33644
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28308
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7039
259.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4859
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6306
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6249
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3966
68.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6352
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6346
109.7 IPS |
