iPhone 16 Pro
Geekbench AI Score
5843
Single Precision Score
6346
Half Precision Score
6074
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | richh- |
| Upload Date | December 26 2024 02:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
3023
562.1 IPS |
|
|
Image Classification (HP)
|
100% |
1639
304.7 IPS |
|
|
Image Classification (Q)
|
97% |
2798
522.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3527
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4439
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4410
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15795
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16492
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15927
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
3403
270.0 IPS |
|
|
Object Detection (Q)
|
91% |
3087
246.7 IPS |
|
|
Face Detection (SP)
|
100% |
7794
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
10699
127.1 IPS |
|
|
Face Detection (Q)
|
100% |
7177
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13414
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14309
110.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12607
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33101
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39605
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35564
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8193
302.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8496
313.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6792
250.8 IPS |
|
|
Text Classification (SP)
|
100% |
3405
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5829
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5888
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
876
15.1 IPS |
