iPhone 16 Pro
Geekbench AI Score
4661
Single Precision Score
8013
Half Precision Score
6390
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | April 14 2026 01:45 PM |
| Views | 7 |
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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
3427
637.4 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7275
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
16694
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14086
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
97% |
3700
294.5 IPS |
|
|
Object Detection (Q)
|
94% |
2598
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7010
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
3978
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7249
55.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13451
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9332
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19951
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35327
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29346
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4696
173.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7131
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.2 IPS |
|
|
Text Classification (SP)
|
99% |
7030
9.38 KIPS |
|
|
Text Classification (HP)
|
100% |
10740
14.3 KIPS |
|
|
Text Classification (Q)
|
93% |
10595
14.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4117
70.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7158
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7132
123.2 IPS |
