iPhone 14 Pro
Geekbench AI Score
3360
Single Precision Score
5694
Half Precision Score
4521
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 06:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
1905
354.3 IPS |
|
|
Image Classification (Q)
|
96% |
1605
299.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2329
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5510
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
14727
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
7620
8.93 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2889
230.0 IPS |
|
|
Object Detection (Q)
|
94% |
2051
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3490
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5982
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11922
92.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8237
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18212
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28611
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23473
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4225
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4920
181.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3707
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2485
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4160
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4177
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5825
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5852
101.1 IPS |
