iPhone 16
Geekbench AI Score
4348
Single Precision Score
7461
Half Precision Score
5952
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 04:59 PM |
| Views | 1 |
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% |
1928
358.6 IPS |
|
|
Image Classification (HP)
|
100% |
3222
599.3 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3268
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8670
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18046
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15187
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2100
166.6 IPS |
|
|
Object Detection (HP)
|
97% |
3695
294.2 IPS |
|
|
Object Detection (Q)
|
94% |
2601
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3320
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6946
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4054
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7545
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13951
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9639
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23217
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36954
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30203
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5382
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6743
249.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4839
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6072
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5915
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5899
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5834
100.8 IPS |
