iPhone 16
Geekbench AI Score
4231
Single Precision Score
7398
Half Precision Score
5918
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 06:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1769
328.9 IPS |
|
|
Image Classification (HP)
|
100% |
3211
597.2 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2830
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3232
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8345
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
17219
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14504
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2056
163.1 IPS |
|
|
Object Detection (HP)
|
97% |
3697
294.4 IPS |
|
|
Object Detection (Q)
|
94% |
2612
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6927
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
4034
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7500
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13925
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9716
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22529
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36775
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29987
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5237
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6699
247.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4786
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6026
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5934
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5935
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5892
101.8 IPS |
