iPhone 16 Pro
Geekbench AI Score
2906
Single Precision Score
3384
Half Precision Score
3220
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 07:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2849
529.8 IPS |
|
|
Image Classification (HP)
|
100% |
2259
420.1 IPS |
|
|
Image Classification (Q)
|
96% |
2896
540.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4315
69.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4886
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4674
75.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15023
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17341
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16734
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3092
245.3 IPS |
|
|
Object Detection (HP)
|
100% |
3647
289.3 IPS |
|
|
Object Detection (Q)
|
92% |
3104
247.8 IPS |
|
|
Face Detection (SP)
|
100% |
7428
88.3 IPS |
|
|
Face Detection (HP)
|
100% |
10494
124.7 IPS |
|
|
Face Detection (Q)
|
100% |
7997
95.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12412
95.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14928
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13490
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30787
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38068
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38478
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7338
270.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7947
293.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6811
251.5 IPS |
|
|
Text Classification (SP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
5965
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6041
8.11 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
8.81 IPS |
|
|
Machine Translation (HP)
|
0% |
0
9.67 IPS |
|
|
Machine Translation (Q)
|
0% |
0
8.78 IPS |
