iPhone 14 Pro
Geekbench AI Score
3536
Single Precision Score
6073
Half Precision Score
5289
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 01:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
2570
477.9 IPS |
|
|
Image Classification (Q)
|
99% |
2520
470.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2159
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6906
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
15056
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12840
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2942
234.2 IPS |
|
|
Object Detection (Q)
|
94% |
2076
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6055
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3463
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6172
47.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12184
94.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
12170
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18813
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28330
36.4 IPS |
|
|
Style Transfer (Q)
|
100% |
28168
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4177
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3668
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4628
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4613
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5905
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5887
101.7 IPS |
