iPhone 16 Pro
Geekbench AI Score
4542
Single Precision Score
7676
Half Precision Score
6089
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 09 2026 06:00 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
3463
644.1 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2819
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3295
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8834
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17069
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14558
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2238
177.5 IPS |
|
|
Object Detection (HP)
|
97% |
3734
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2595
206.9 IPS |
|
|
Face Detection (SP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
7171
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
4019
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7904
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13289
102.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9464
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21508
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35762
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29074
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5241
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6880
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6328
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6069
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4217
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7693
132.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7342
126.9 IPS |
