iPhone 16
Geekbench AI Score
4014
Single Precision Score
6892
Half Precision Score
5545
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 10:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1965
365.5 IPS |
|
|
Image Classification (HP)
|
100% |
3119
580.0 IPS |
|
|
Image Classification (Q)
|
96% |
2165
404.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2648
42.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3027
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7343
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
15276
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13161
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
2086
165.5 IPS |
|
|
Object Detection (HP)
|
97% |
3473
276.5 IPS |
|
|
Object Detection (Q)
|
94% |
2379
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6348
75.4 IPS |
|
|
Face Detection (Q)
|
100% |
3593
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7092
54.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
12375
95.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8574
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16210
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33016
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27168
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4378
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6674
246.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4658
172.0 IPS |
|
|
Text Classification (SP)
|
100% |
3401
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
6038
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5941
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5284
91.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5787
100.0 IPS |
