iPhone 14 Plus
Geekbench AI Score
1835
Single Precision Score
10906
Half Precision Score
12047
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:49 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 14 Plus |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
906
168.5 IPS |
|
|
Image Classification (HP)
|
100% |
5094
947.4 IPS |
|
|
Image Classification (Q)
|
99% |
5910
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3852
62.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
3879
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5462
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
78092
91.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
68303
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (HP)
|
99% |
5188
412.7 IPS |
|
|
Object Detection (Q)
|
93% |
7632
609.0 IPS |
|
|
Face Detection (SP)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
9120
108.4 IPS |
|
|
Face Detection (Q)
|
100% |
12303
146.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3104
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
36728
283.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
42135
325.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9294
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
113310
145.7 IPS |
|
|
Style Transfer (Q)
|
100% |
115062
147.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14958
552.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
17475
647.4 IPS |
|
|
Text Classification (SP)
|
100% |
999
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (Q)
|
93% |
2572
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2022
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2010
34.7 IPS |
