iPhone 16 Pro
Geekbench AI Score
4741
Single Precision Score
7971
Half Precision Score
6323
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | TallonRain |
| Upload Date | July 29 2025 10:04 AM |
| Views | 35 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2089
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.8 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2933
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9669
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19013
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16165
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2372
188.2 IPS |
|
|
Object Detection (HP)
|
97% |
3854
306.8 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7677
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4224
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8308
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14495
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10054
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21109
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38230
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31130
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5682
209.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7351
271.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5211
192.4 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6067
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6023
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4269
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7463
129.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7407
128.0 IPS |
