iPhone 16 Pro
Geekbench AI Score
4679
Single Precision Score
7899
Half Precision Score
6263
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 02:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2094
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
3411
634.3 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9479
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18670
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15639
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.3 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3947
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7612
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4234
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8258
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14425
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9895
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20491
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37760
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30776
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5536
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7302
269.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5186
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6014
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5860
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4323
74.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7502
129.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7498
129.6 IPS |
