iPhone 14 Pro
Geekbench AI Score
3580
Single Precision Score
21672
Half Precision Score
24317
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kirbalo |
| Upload Date | November 11 2024 03:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
9762
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
11915
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15045
243.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17691
286.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7156
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
96015
112.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102243
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
12855
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14796
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
29122
346.0 IPS |
|
|
Face Detection (Q)
|
100% |
38474
457.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6277
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74546
574.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
95553
747.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19001
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
165065
212.2 IPS |
|
|
Style Transfer (Q)
|
96% |
170499
220.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4278
158.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32618
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37456
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (Q)
|
93% |
1630
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5407
93.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5926
102.4 IPS |
