iPhone 14 Pro
Geekbench AI Score
3866
Single Precision Score
4328
Half Precision Score
3791
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kirdol |
| Upload Date | December 24 2024 10:57 PM |
| Views | 4 |
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% |
1462
271.9 IPS |
|
|
Image Classification (HP)
|
100% |
1596
296.9 IPS |
|
|
Image Classification (Q)
|
97% |
1515
282.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2492
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11698
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12705
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11506
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (Q)
|
91% |
1553
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
5229
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
6183
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
4059
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8596
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8630
66.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7280
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21212
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23735
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21974
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4851
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4871
179.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3794
140.1 IPS |
|
|
Text Classification (SP)
|
100% |
2645
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4626
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4665
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
792
13.7 IPS |
