iPhone 14 Plus
Geekbench AI Score
3397
Single Precision Score
3753
Half Precision Score
3917
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | December 31 2025 02:27 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
842
156.7 IPS |
|
|
Image Classification (HP)
|
100% |
705
131.2 IPS |
|
|
Image Classification (Q)
|
96% |
1174
219.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2753
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2830
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11335
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12707
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12385
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.8 IPS |
|
|
Object Detection (HP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (Q)
|
92% |
1316
105.1 IPS |
|
|
Face Detection (SP)
|
100% |
4418
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
4731
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
5070
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8246
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9044
69.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8421
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18776
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23101
29.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23264
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3959
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3870
142.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3663
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2543
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4185
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4118
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1050
18.2 IPS |
