iPhone 16 Pro
Geekbench AI Score
6165
Single Precision Score
7061
Half Precision Score
6815
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 07:59 PM |
| Views | 5 |
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% |
3022
562.0 IPS |
|
|
Image Classification (HP)
|
100% |
2685
499.3 IPS |
|
|
Image Classification (Q)
|
96% |
3133
585.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4484
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4948
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4755
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15722
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16947
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17033
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3198
253.7 IPS |
|
|
Object Detection (HP)
|
100% |
3459
274.3 IPS |
|
|
Object Detection (Q)
|
92% |
3169
253.0 IPS |
|
|
Face Detection (SP)
|
100% |
7923
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
10857
129.0 IPS |
|
|
Face Detection (Q)
|
100% |
8726
103.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13540
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14974
115.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14032
109.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33135
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38973
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38412
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8090
298.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8316
307.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7622
281.5 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5864
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5871
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1277
22.1 IPS |
