iPhone 14 Plus
Geekbench AI Score
3201
Single Precision Score
20087
Half Precision Score
22654
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | December 31 2025 02:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
9315
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
10841
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13687
221.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14339
232.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6054
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
73980
86.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
82852
97.1 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (HP)
|
99% |
10855
863.5 IPS |
|
|
Object Detection (Q)
|
91% |
12059
963.6 IPS |
|
|
Face Detection (SP)
|
100% |
2714
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
26001
308.9 IPS |
|
|
Face Detection (Q)
|
100% |
34905
414.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5239
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55030
424.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
76517
597.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17324
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
154103
198.1 IPS |
|
|
Style Transfer (Q)
|
96% |
142416
183.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28923
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29596
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2582
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2505
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2628
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6541
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7751
134.0 IPS |
