iPhone 14 Plus
Geekbench AI Score
3019
Single Precision Score
5623
Half Precision Score
4545
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 08:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
2395
445.5 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2421
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5591
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
13399
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11152
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1271
100.8 IPS |
|
|
Object Detection (HP)
|
97% |
2669
212.5 IPS |
|
|
Object Detection (Q)
|
94% |
1903
151.7 IPS |
|
|
Face Detection (SP)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5567
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3041
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4920
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10292
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7155
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15488
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25924
33.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21353
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3411
125.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4646
171.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3568
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2486
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4205
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4236
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3323
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6496
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6285
108.6 IPS |
