iPhone 16 Pro
Geekbench AI Score
4492
Single Precision Score
7687
Half Precision Score
6132
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 08:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
3298
613.3 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2806
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3301
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8640
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17375
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14809
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2626
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
3850
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7338
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4068
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7924
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13709
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9568
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19530
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36727
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29580
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7309
269.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5116
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
3401
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
6025
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5969
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7325
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7335
126.8 IPS |
