iPhone 14 Plus
Geekbench AI Score
3283
Single Precision Score
5668
Half Precision Score
4584
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Saaddd |
| Upload Date | April 10 2025 05:25 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1329
247.2 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2511
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6511
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14126
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12059
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
97% |
2735
217.7 IPS |
|
|
Object Detection (Q)
|
94% |
1946
155.1 IPS |
|
|
Face Detection (SP)
|
100% |
2802
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
5759
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3249
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5403
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11171
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7630
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17709
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26953
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22306
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3869
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4643
171.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3478
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4064
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5668
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5608
96.9 IPS |
