iPhone 14 Pro
Geekbench AI Score
3568
Single Precision Score
6065
Half Precision Score
4931
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Beutegreifer |
| Upload Date | December 22 2024 09:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
2497
464.4 IPS |
|
|
Image Classification (Q)
|
96% |
1751
327.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2693
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7037
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
15141
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12993
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2920
232.5 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6108
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3499
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6287
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12230
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8233
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18852
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28842
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23648
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4199
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4909
181.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3722
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4584
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4557
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5842
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5871
101.5 IPS |
