iPhone 16 Pro
Geekbench AI Score
4561
Single Precision Score
8030
Half Precision Score
6396
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | April 14 2026 11:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4.1 |
| 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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
3440
639.8 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2836
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3290
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6387
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
15765
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13524
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2383
189.0 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2601
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7161
85.1 IPS |
|
|
Face Detection (Q)
|
100% |
4041
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6892
53.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
12889
99.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9184
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17685
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35587
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29422
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4758
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7284
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5024
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
6909
9.22 KIPS |
|
|
Text Classification (HP)
|
99% |
10619
14.2 KIPS |
|
|
Text Classification (Q)
|
92% |
10804
14.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
4188
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7641
132.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7233
125.0 IPS |
