iPhone 16
Geekbench AI Score
4379
Single Precision Score
7475
Half Precision Score
5925
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | May 31 2025 11:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
3234
601.5 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2819
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3218
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8707
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17996
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14817
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.5 IPS |
|
|
Object Detection (HP)
|
97% |
3691
293.8 IPS |
|
|
Object Detection (Q)
|
94% |
2559
204.0 IPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6819
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3924
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7814
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14004
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9600
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18584
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36688
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30001
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5085
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7214
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5041
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6005
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5949
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5931
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5867
101.4 IPS |
