iPhone 16 Pro
Geekbench AI Score
6133
Single Precision Score
7050
Half Precision Score
6770
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2938
546.4 IPS |
|
|
Image Classification (HP)
|
100% |
2901
539.4 IPS |
|
|
Image Classification (Q)
|
96% |
3045
568.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4482
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4901
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4716
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15583
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17050
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16914
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3152
250.0 IPS |
|
|
Object Detection (HP)
|
100% |
3457
274.2 IPS |
|
|
Object Detection (Q)
|
92% |
3120
249.0 IPS |
|
|
Face Detection (SP)
|
100% |
7781
92.5 IPS |
|
|
Face Detection (HP)
|
100% |
10600
126.0 IPS |
|
|
Face Detection (Q)
|
100% |
8644
102.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13495
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14546
112.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13798
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33398
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38440
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39055
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8088
298.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8140
300.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7641
282.2 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5879
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5908
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1270
22.0 IPS |
