iPhone 16 Pro
Geekbench AI Score
4667
Single Precision Score
7890
Half Precision Score
6266
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 10:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.9 IPS |
|
|
Image Classification (Q)
|
96% |
2281
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9362
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18465
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15741
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
97% |
3832
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2659
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3912
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7591
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4236
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8187
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14362
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9964
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20404
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37881
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31063
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5536
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7361
271.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5205
192.2 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5978
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5873
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7324
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7320
126.5 IPS |
