iPhone 14 Pro
Geekbench AI Score
3943
Single Precision Score
4300
Half Precision Score
3786
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 10 2024 01:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
1495
278.0 IPS |
|
|
Image Classification (Q)
|
97% |
1493
278.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2468
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11796
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12357
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11530
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
1946
154.3 IPS |
|
|
Object Detection (Q)
|
91% |
1604
128.2 IPS |
|
|
Face Detection (SP)
|
100% |
5247
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
6060
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
4121
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8566
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8894
68.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7216
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21251
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23794
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22047
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4971
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5022
185.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3937
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
2649
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4658
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4600
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
749
12.9 IPS |
