iPhone 16
Geekbench AI Score
2622
Single Precision Score
3072
Half Precision Score
2825
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 10:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
729
135.7 IPS |
|
|
Image Classification (HP)
|
100% |
762
141.7 IPS |
|
|
Image Classification (Q)
|
97% |
927
173.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2008
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2586
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6956
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
7966
9.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
7101
8.32 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
100% |
1332
105.7 IPS |
|
|
Object Detection (Q)
|
91% |
1370
109.4 IPS |
|
|
Face Detection (SP)
|
100% |
5140
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
6479
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
3390
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6797
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6944
53.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
5600
43.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15656
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18230
23.4 IPS |
|
|
Style Transfer (Q)
|
96% |
16909
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3523
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3481
128.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3845
142.0 IPS |
|
|
Text Classification (SP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2391
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
98% |
471
8.14 IPS |
