iPhone 16 Pro
Geekbench AI Score
5824
Single Precision Score
6816
Half Precision Score
6617
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:31 PM |
| 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% |
2964
551.2 IPS |
|
|
Image Classification (HP)
|
100% |
2708
503.6 IPS |
|
|
Image Classification (Q)
|
96% |
3106
580.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4402
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4918
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4701
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15702
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16867
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16735
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3159
250.6 IPS |
|
|
Object Detection (HP)
|
100% |
3437
272.6 IPS |
|
|
Object Detection (Q)
|
92% |
3130
249.9 IPS |
|
|
Face Detection (SP)
|
100% |
7736
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
10683
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
8623
102.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13017
100.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14763
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13658
106.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27842
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28250
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33454
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6245
230.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8261
305.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7105
262.4 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
6002
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5877
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1280
22.1 IPS |
