iPhone 16
Geekbench AI Score
4111
Single Precision Score
7117
Half Precision Score
5684
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:46 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% |
1934
359.6 IPS |
|
|
Image Classification (HP)
|
100% |
3198
594.8 IPS |
|
|
Image Classification (Q)
|
96% |
2183
407.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2698
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3248
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7825
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
16365
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13678
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1915
151.9 IPS |
|
|
Object Detection (HP)
|
97% |
3578
284.8 IPS |
|
|
Object Detection (Q)
|
94% |
2459
196.0 IPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6719
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3780
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7005
54.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13173
101.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9071
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21562
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34740
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28270
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4948
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6365
235.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4569
168.7 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5889
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5844
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5728
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5704
98.6 IPS |
