iPhone 14 Plus
Geekbench AI Score
3304
Single Precision Score
19071
Half Precision Score
21225
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 05 2025 11:51 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1361
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
8948
1.66 KIPS |
|
|
Image Classification (Q)
|
96% |
10177
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12342
200.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13884
225.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6343
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
85070
99.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
93259
109.3 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (HP)
|
99% |
10811
860.0 IPS |
|
|
Object Detection (Q)
|
91% |
11414
912.1 IPS |
|
|
Face Detection (SP)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
26580
315.8 IPS |
|
|
Face Detection (Q)
|
100% |
31860
378.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5525
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51654
398.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
73119
571.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17425
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
153048
196.7 IPS |
|
|
Style Transfer (Q)
|
96% |
154219
199.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3893
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26992
996.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28386
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2322
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4793
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5210
90.0 IPS |
