iPhone 14 Pro
Geekbench AI Score
3517
Single Precision Score
6091
Half Precision Score
4926
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | earth-sol |
| Upload Date | September 24 2024 06:45 AM |
| Views | 7 |
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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.4 IPS |
|
|
Image Classification (Q)
|
96% |
1730
323.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2691
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6809
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
14980
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12853
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2910
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6056
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3487
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6185
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12178
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8254
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18896
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28061
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23719
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4127
152.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5254
194.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3719
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4616
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4602
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5894
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5867
101.4 IPS |
