iPhone 16
Geekbench AI Score
4394
Single Precision Score
7495
Half Precision Score
6005
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | UHI |
| Upload Date | December 21 2024 02:56 PM |
| Views | 2 |
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% |
1921
357.2 IPS |
|
|
Image Classification (HP)
|
100% |
3193
593.8 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3254
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8933
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18602
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15625
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
97% |
3745
298.1 IPS |
|
|
Object Detection (Q)
|
94% |
2622
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6990
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
4092
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7782
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14220
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9881
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23471
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37366
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30762
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5557
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6845
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4862
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5833
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5836
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5952
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5903
102.0 IPS |
