iPhone 16 Pro
Geekbench AI Score
4628
Single Precision Score
7853
Half Precision Score
6187
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 09:55 AM |
| Views | 2 |
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% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.7 IPS |
|
|
Image Classification (Q)
|
96% |
2263
422.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3356
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9156
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18095
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15214
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2347
186.1 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3863
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7530
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4124
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8177
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14043
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9718
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20287
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37605
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30567
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5379
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7326
270.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5157
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5972
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5894
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4290
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7468
129.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7192
124.3 IPS |
