iPhone 16 Pro
Geekbench AI Score
4601
Single Precision Score
7793
Half Precision Score
6227
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | AM_alzahrani |
| Upload Date | April 18 2026 05:48 PM |
| Views | 9 |
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% |
1987
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
3442
640.1 IPS |
|
|
Image Classification (Q)
|
96% |
2320
433.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2773
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3294
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9049
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17925
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14868
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
97% |
3733
297.2 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3739
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7198
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
4122
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8163
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13808
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9679
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22041
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36750
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29672
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7135
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5062
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
3735
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6322
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6212
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7853
135.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7789
134.6 IPS |
