iPhone 16 Pro
Geekbench AI Score
5913
Single Precision Score
6893
Half Precision Score
6086
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 09:57 AM |
| Views | 1 |
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% |
3107
577.7 IPS |
|
|
Image Classification (HP)
|
100% |
3128
581.8 IPS |
|
|
Image Classification (Q)
|
97% |
2753
513.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3562
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4465
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4418
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15895
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16504
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15674
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3226
255.9 IPS |
|
|
Object Detection (HP)
|
100% |
3546
281.3 IPS |
|
|
Object Detection (Q)
|
91% |
2859
228.4 IPS |
|
|
Face Detection (SP)
|
100% |
8117
96.5 IPS |
|
|
Face Detection (HP)
|
100% |
10807
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
7256
86.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13586
104.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14530
111.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12712
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33427
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39753
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36471
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8113
299.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8457
312.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6842
252.6 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5923
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
953
16.5 IPS |
