iPhone 16 Pro
Geekbench AI Score
4505
Single Precision Score
7685
Half Precision Score
6096
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | August 01 2025 02:48 PM |
| Views | 9 |
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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.3 IPS |
|
|
Image Classification (Q)
|
96% |
2246
419.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3320
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8657
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17073
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14702
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2275
180.5 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2618
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7397
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4043
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7848
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13768
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9463
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19281
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35919
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29657
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5129
189.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7315
270.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5054
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5923
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5955
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4177
72.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7312
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7238
125.1 IPS |
