iPhone 14 Plus
Geekbench AI Score
3293
Single Precision Score
5661
Half Precision Score
4574
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.4 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2511
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6409
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
13964
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11697
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (HP)
|
97% |
2727
217.1 IPS |
|
|
Object Detection (Q)
|
94% |
1929
153.8 IPS |
|
|
Face Detection (SP)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
5745
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5416
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11115
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7621
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17511
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26653
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22113
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3846
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4589
169.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3445
127.2 IPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4126
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4101
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3509
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5784
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5742
99.2 IPS |
