iPhone 14 Pro
Geekbench AI Score
3549
Single Precision Score
6123
Half Precision Score
4973
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | metadex |
| Upload Date | January 24 2025 08:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1447
269.2 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.5 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2689
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6962
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
15187
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12939
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2952
235.0 IPS |
|
|
Object Detection (Q)
|
94% |
2068
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6131
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3511
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6238
48.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12414
96.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8385
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19238
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28805
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23821
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4190
154.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4925
181.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3782
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4721
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5944
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5936
102.6 IPS |
