iPhone 16 Pro
Geekbench AI Score
4647
Single Precision Score
7638
Half Precision Score
6145
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 08:55 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% |
2030
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
3482
647.5 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2759
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3267
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9256
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18086
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15379
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.3 IPS |
|
|
Object Detection (HP)
|
97% |
3701
294.6 IPS |
|
|
Object Detection (Q)
|
94% |
2626
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7218
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
4120
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8193
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13798
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9677
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22354
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38056
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30414
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5554
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7136
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5140
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6105
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6101
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6371
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6586
113.8 IPS |
