iPhone 14 Pro
Geekbench AI Score
3907
Single Precision Score
4326
Half Precision Score
3800
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 05:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1548
287.9 IPS |
|
|
Image Classification (HP)
|
100% |
1609
299.2 IPS |
|
|
Image Classification (Q)
|
97% |
1440
268.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2454
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11672
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12344
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11457
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1956
155.1 IPS |
|
|
Object Detection (HP)
|
100% |
1864
147.8 IPS |
|
|
Object Detection (Q)
|
91% |
1592
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
5326
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
6198
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
4130
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8435
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8782
67.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7298
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21230
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23782
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22249
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5016
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4036
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4772
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4758
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
757
13.1 IPS |
