iPhone 14 Pro
Geekbench AI Score
3520
Single Precision Score
6032
Half Precision Score
5249
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | winzee |
| Upload Date | August 16 2024 11:24 AM |
| Views | 9 |
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% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2485
462.1 IPS |
|
|
Image Classification (Q)
|
99% |
2506
467.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2163
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6868
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15011
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12765
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2920
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6050
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3471
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6200
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12211
94.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
12173
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18702
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28624
36.8 IPS |
|
|
Style Transfer (Q)
|
100% |
28148
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4174
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4931
182.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3669
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4444
5.93 KIPS |
|
|
Text Classification (Q)
|
93% |
4382
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5861
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5864
101.3 IPS |
