iPhone 16 Pro
Geekbench AI Score
5751
Single Precision Score
6817
Half Precision Score
6564
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | June 10 2025 10:21 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2852
530.3 IPS |
|
|
Image Classification (HP)
|
100% |
2897
538.7 IPS |
|
|
Image Classification (Q)
|
96% |
3061
571.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4350
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4923
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4712
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14897
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17365
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17031
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3133
248.5 IPS |
|
|
Object Detection (HP)
|
100% |
3666
290.8 IPS |
|
|
Object Detection (Q)
|
92% |
3270
261.1 IPS |
|
|
Face Detection (SP)
|
100% |
7382
87.7 IPS |
|
|
Face Detection (HP)
|
100% |
10646
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
8398
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12959
99.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15055
116.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13482
105.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27616
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26608
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32752
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6288
232.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8187
302.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7109
262.5 IPS |
|
|
Text Classification (SP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5787
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5755
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1220
21.1 IPS |
