iPhone 14 Plus
Geekbench AI Score
3246
Single Precision Score
5671
Half Precision Score
4589
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 08:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
2408
447.7 IPS |
|
|
Image Classification (Q)
|
96% |
1670
311.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2427
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6246
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
13900
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11444
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
97% |
2666
212.3 IPS |
|
|
Object Detection (Q)
|
94% |
1911
152.3 IPS |
|
|
Face Detection (SP)
|
100% |
2757
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5453
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3061
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5284
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10506
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7362
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16530
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27052
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21798
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3785
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4866
179.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3580
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
2521
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4076
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6394
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6531
112.9 IPS |
