iPhone 16 Pro
Geekbench AI Score
4616
Single Precision Score
7802
Half Precision Score
6242
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2055
382.2 IPS |
|
|
Image Classification (HP)
|
100% |
3444
640.6 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2785
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3297
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9052
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17904
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14965
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
97% |
3740
297.7 IPS |
|
|
Object Detection (Q)
|
94% |
2634
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7152
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
4107
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8080
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13765
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9668
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22080
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37425
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30230
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5553
205.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7216
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5196
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6267
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6159
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4134
71.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7819
135.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7754
134.0 IPS |
