iPhone 14 Pro
Geekbench AI Score
4194
Single Precision Score
4661
Half Precision Score
4327
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 06 2025 10:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
1968
365.9 IPS |
|
|
Image Classification (Q)
|
96% |
1849
345.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2960
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2619
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10335
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11173
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11119
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
2027
160.8 IPS |
|
|
Object Detection (Q)
|
92% |
1843
147.1 IPS |
|
|
Face Detection (SP)
|
100% |
5685
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
6551
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
5367
63.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9024
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9715
74.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8855
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20837
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20042
25.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19612
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4511
166.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5183
191.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4805
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4873
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4873
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1063
18.4 IPS |
