iPhone 14 Plus
Geekbench AI Score
3231
Single Precision Score
5588
Half Precision Score
4502
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | October 21 2024 11:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
2371
440.9 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2475
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6204
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
13637
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11585
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
97% |
2702
215.1 IPS |
|
|
Object Detection (Q)
|
94% |
1927
153.6 IPS |
|
|
Face Detection (SP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5391
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3006
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5341
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11018
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7362
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17050
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26318
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21771
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3839
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4712
174.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3442
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4087
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4059
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5655
97.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5659
97.8 IPS |
