iPhone 16
Geekbench AI Score
4512
Single Precision Score
4867
Half Precision Score
4766
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 09:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
880
163.7 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.7 IPS |
|
|
Image Classification (Q)
|
96% |
942
175.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3923
63.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3889
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3800
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13546
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13851
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13783
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2115
167.8 IPS |
|
|
Object Detection (HP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (Q)
|
92% |
1536
122.6 IPS |
|
|
Face Detection (SP)
|
100% |
6854
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
8420
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
7239
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11497
88.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11989
92.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11278
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29762
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32319
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31266
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4498
166.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4598
169.8 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5935
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5875
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1158
20.0 IPS |
