iPhone 14 Pro
Geekbench AI Score
3442
Single Precision Score
6090
Half Precision Score
4977
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1434
266.8 IPS |
|
|
Image Classification (HP)
|
100% |
2567
477.3 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2619
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6222
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
14489
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12267
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
97% |
2909
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5973
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3406
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5905
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11457
88.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7921
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17955
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29611
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24355
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4003
147.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3863
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4789
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4758
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6537
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6634
114.6 IPS |
