iPhone 16
Geekbench AI Score
4103
Single Precision Score
4344
Half Precision Score
4290
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | February 22 2025 01:40 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
849
157.8 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.2 IPS |
|
|
Image Classification (Q)
|
97% |
924
172.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3648
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3677
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13577
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14016
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13267
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.5 IPS |
|
|
Object Detection (HP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (Q)
|
91% |
1990
159.0 IPS |
|
|
Face Detection (SP)
|
100% |
7047
83.7 IPS |
|
|
Face Detection (HP)
|
100% |
9143
108.6 IPS |
|
|
Face Detection (Q)
|
100% |
6196
73.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11484
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12093
93.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10550
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29551
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32632
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30777
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4148
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4236
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5902
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5846
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
98% |
473
8.17 IPS |
