iPhone 16 Pro
Geekbench AI Score
4461
Single Precision Score
7600
Half Precision Score
6059
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 11:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
3372
627.1 IPS |
|
|
Image Classification (Q)
|
96% |
2289
427.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2780
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3096
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8546
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
16943
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14260
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2094
166.1 IPS |
|
|
Object Detection (HP)
|
97% |
3713
295.6 IPS |
|
|
Object Detection (Q)
|
94% |
2592
206.6 IPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6862
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3893
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7785
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13127
101.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9219
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21099
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35463
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28686
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5230
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7108
262.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4979
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3800
5.07 KIPS |
|
|
Text Classification (HP)
|
99% |
6450
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6457
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4131
71.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7450
128.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7693
133.0 IPS |
