iPhone 16
Geekbench AI Score
4066
Single Precision Score
7156
Half Precision Score
5648
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ssk_ats |
| Upload Date | December 04 2024 09:16 AM |
| Views | 3 |
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% |
1882
350.0 IPS |
|
|
Image Classification (HP)
|
100% |
3203
595.7 IPS |
|
|
Image Classification (Q)
|
96% |
2190
409.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2876
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3102
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7777
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15920
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13837
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1873
148.6 IPS |
|
|
Object Detection (HP)
|
97% |
3565
283.8 IPS |
|
|
Object Detection (Q)
|
94% |
2479
197.6 IPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6500
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
3774
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6872
52.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12948
100.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8774
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21045
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34136
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27745
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4774
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6629
244.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4498
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
3481
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
6130
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5959
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3486
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5771
99.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5758
99.5 IPS |
