iPhone 16 Pro
Geekbench AI Score
6170
Single Precision Score
7115
Half Precision Score
6841
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pheonix74 |
| Upload Date | June 25 2025 01:06 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2997
557.3 IPS |
|
|
Image Classification (HP)
|
100% |
2788
518.5 IPS |
|
|
Image Classification (Q)
|
96% |
3166
591.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4481
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4940
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4747
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15714
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17173
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17035
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3211
254.7 IPS |
|
|
Object Detection (HP)
|
100% |
3472
275.4 IPS |
|
|
Object Detection (Q)
|
92% |
3194
255.0 IPS |
|
|
Face Detection (SP)
|
100% |
7749
92.1 IPS |
|
|
Face Detection (HP)
|
100% |
10878
129.3 IPS |
|
|
Face Detection (Q)
|
100% |
8717
103.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13603
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14923
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
14033
109.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33245
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39098
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38974
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8113
299.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8325
307.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7637
282.0 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5999
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5865
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1286
22.2 IPS |
