iPhone 16 Pro
Geekbench AI Score
3872
Single Precision Score
6559
Half Precision Score
5245
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 08 2025 08:50 AM |
| Views | 3 |
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% |
2051
381.4 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.8 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2827
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7741
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
16074
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8585
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
2167
171.9 IPS |
|
|
Object Detection (HP)
|
97% |
2117
168.6 IPS |
|
|
Object Detection (Q)
|
94% |
1950
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
5668
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3683
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6996
53.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
11804
91.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8640
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16676
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31454
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25695
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2112
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6929
255.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4861
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5820
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3941
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6774
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6958
120.2 IPS |
