iPhone 16
Geekbench AI Score
4400
Single Precision Score
7506
Half Precision Score
6025
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kochitora |
| Upload Date | January 02 2025 12:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1925
358.1 IPS |
|
|
Image Classification (HP)
|
100% |
3218
598.4 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3287
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9141
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18488
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15863
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2630
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6942
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4087
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7678
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14222
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9889
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23585
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37526
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30688
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5583
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6837
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4882
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5893
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5869
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3585
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5906
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5919
102.3 IPS |
