iPhone 16 Pro
Geekbench AI Score
4536
Single Precision Score
7715
Half Precision Score
6093
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:33 PM |
| Views | 2 |
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
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.1 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3308
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8710
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17294
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14622
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.1 IPS |
|
|
Object Detection (HP)
|
97% |
3776
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3860
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7457
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
3993
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7891
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13638
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9346
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19404
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36763
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29902
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5237
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7321
270.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5110
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5841
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4284
73.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7445
128.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7371
127.4 IPS |
