iPhone 16 Pro
Geekbench AI Score
6201
Single Precision Score
7065
Half Precision Score
6868
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 10:52 AM |
| Views | 3 |
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% |
3025
562.6 IPS |
|
|
Image Classification (HP)
|
100% |
2512
467.2 IPS |
|
|
Image Classification (Q)
|
96% |
3150
588.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4486
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4911
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4746
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15817
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17242
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17373
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3212
254.8 IPS |
|
|
Object Detection (HP)
|
100% |
3466
274.9 IPS |
|
|
Object Detection (Q)
|
92% |
3189
254.5 IPS |
|
|
Face Detection (SP)
|
100% |
7987
94.9 IPS |
|
|
Face Detection (HP)
|
100% |
11198
133.1 IPS |
|
|
Face Detection (Q)
|
100% |
8906
105.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14124
108.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15747
121.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14085
110.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32647
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39712
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40174
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8088
298.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8102
299.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7531
278.1 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5885
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5876
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1266
21.9 IPS |
