iPhone 14 Pro
Geekbench AI Score
3579
Single Precision Score
6116
Half Precision Score
4950
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:45 PM |
| 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% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
2527
470.0 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2226
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2689
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7071
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
15373
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13082
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2909
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6064
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3485
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6223
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12339
95.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8284
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18983
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28339
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23702
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4245
156.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4930
182.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3715
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4758
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4596
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3462
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5862
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5939
102.6 IPS |
