iPhone 16 Pro
Geekbench AI Score
4551
Single Precision Score
7715
Half Precision Score
6143
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 06 2025 07:40 PM |
| Views | 4 |
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% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
3390
630.5 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3321
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8887
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17415
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14753
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (HP)
|
97% |
3748
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2611
208.1 IPS |
|
|
Face Detection (SP)
|
100% |
3891
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7366
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
4091
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7977
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13801
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9582
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19791
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36747
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30279
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5247
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7253
267.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5159
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5892
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5856
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4252
73.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7403
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7340
126.8 IPS |
