iPhone 16 Pro
Geekbench AI Score
4669
Single Precision Score
7800
Half Precision Score
6217
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 05:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
3490
649.0 IPS |
|
|
Image Classification (Q)
|
96% |
2347
438.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3311
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9221
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17871
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14468
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2319
184.0 IPS |
|
|
Object Detection (HP)
|
97% |
3742
297.9 IPS |
|
|
Object Detection (Q)
|
94% |
2641
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
3738
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7269
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
4133
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8127
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13747
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9594
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22067
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37127
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30433
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5563
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7152
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5070
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
3735
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6099
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6174
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4215
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7759
134.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7692
132.9 IPS |
