iPhone 16 Pro
Geekbench AI Score
4722
Single Precision Score
7925
Half Precision Score
6309
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hlovatt |
| Upload Date | September 03 2025 02:08 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3420
636.1 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9663
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18661
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15784
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2677
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7652
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4279
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8345
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14528
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10069
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21160
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38133
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31206
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5621
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7372
272.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5179
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5889
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7463
129.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7517
129.9 IPS |
