iPhone 14 Plus
Geekbench AI Score
3461
Single Precision Score
3817
Half Precision Score
3806
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | September 08 2025 10:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
723
134.5 IPS |
|
|
Image Classification (HP)
|
100% |
761
141.5 IPS |
|
|
Image Classification (Q)
|
96% |
1158
216.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2825
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11249
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12729
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12169
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (Q)
|
92% |
1206
96.2 IPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
6061
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
4790
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8474
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8800
67.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8246
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18807
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23372
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23130
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3955
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3867
142.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3367
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
2598
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4181
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4160
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1040
18.0 IPS |
