iPhone 16 Pro
Geekbench AI Score
4540
Single Precision Score
7666
Half Precision Score
6209
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 06:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
3484
647.9 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2819
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3306
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8930
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17935
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14983
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.8 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.6 IPS |
|
|
Object Detection (Q)
|
94% |
2629
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
7109
84.5 IPS |
|
|
Face Detection (Q)
|
100% |
4100
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7979
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13599
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9609
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22088
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36558
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30775
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5427
200.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7010
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5036
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5906
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5909
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4073
70.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7308
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7782
134.5 IPS |
