iPhone 14 Pro
Geekbench AI Score
3904
Single Precision Score
4306
Half Precision Score
3757
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Beutegreifer |
| Upload Date | December 22 2024 09:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.7 IPS |
|
|
Image Classification (Q)
|
97% |
1450
270.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2488
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11778
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12487
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11445
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1936
153.6 IPS |
|
|
Object Detection (HP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (Q)
|
91% |
1584
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
5301
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
6146
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
4050
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8498
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8829
68.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7259
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21238
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23814
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22035
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4925
181.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3893
143.7 IPS |
|
|
Text Classification (SP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4668
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4570
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
744
12.9 IPS |
