iPhone 16 Pro
Geekbench AI Score
5765
Single Precision Score
6799
Half Precision Score
6078
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | stableconfusion |
| Upload Date | December 24 2024 12:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2897
538.7 IPS |
|
|
Image Classification (HP)
|
100% |
2870
533.7 IPS |
|
|
Image Classification (Q)
|
97% |
2881
537.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3527
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4438
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4427
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15704
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16675
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15533
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3187
252.8 IPS |
|
|
Object Detection (HP)
|
100% |
3517
279.0 IPS |
|
|
Object Detection (Q)
|
91% |
2887
230.7 IPS |
|
|
Face Detection (SP)
|
100% |
7920
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
10804
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
7252
86.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13434
103.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14907
114.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12585
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32677
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39570
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35745
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8017
296.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8470
312.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6840
252.6 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5843
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5812
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
928
16.0 IPS |
