iPhone 16 Pro
Geekbench AI Score
4367
Single Precision Score
7538
Half Precision Score
5996
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | stableconfusion |
| Upload Date | December 24 2024 12:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1989
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
3350
622.9 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3269
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8178
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
16685
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14279
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
97% |
3752
298.7 IPS |
|
|
Object Detection (Q)
|
94% |
2608
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7299
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
4073
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7282
56.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13350
103.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9343
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22655
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35904
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29358
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5291
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6872
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4804
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5829
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5813
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7001
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6979
120.6 IPS |
