iPhone 14 Pro
Geekbench AI Score
2392
Single Precision Score
2449
Half Precision Score
1343
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 30 2025 10:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1247
231.9 IPS |
|
|
Image Classification (HP)
|
100% |
1117
207.7 IPS |
|
|
Image Classification (Q)
|
97% |
452
84.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
569
9.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
6235
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
12599
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
6467
7.58 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.6 IPS |
|
|
Object Detection (HP)
|
98% |
1302
103.6 IPS |
|
|
Object Detection (Q)
|
94% |
540
43.1 IPS |
|
|
Face Detection (SP)
|
100% |
2286
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
1962
23.3 IPS |
|
|
Face Detection (Q)
|
100% |
666
7.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
4130
31.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4412
34.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1952
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11600
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13731
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
7961
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3180
117.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1160
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
897
1.20 KIPS |
|
|
Text Classification (Q)
|
93% |
881
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2037
35.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2013
34.8 IPS |
