iPhone 16
Geekbench AI Score
4606
Single Precision Score
4747
Half Precision Score
4770
Quantized Score
Geekbench AI 1.4.0 Corporate for iOS AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 2 |
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% |
1020
189.7 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.5 IPS |
|
|
Image Classification (Q)
|
96% |
846
158.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3829
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3928
63.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3807
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13396
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13891
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13822
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
1619
128.5 IPS |
|
|
Object Detection (Q)
|
92% |
1643
131.2 IPS |
|
|
Face Detection (SP)
|
100% |
7140
84.8 IPS |
|
|
Face Detection (HP)
|
100% |
9367
111.3 IPS |
|
|
Face Detection (Q)
|
100% |
7320
87.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11790
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12469
96.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11486
89.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28805
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31856
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31325
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4756
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3213
118.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4627
170.8 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5985
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5958
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1149
19.9 IPS |
