iPhone 14 Plus
Geekbench AI Score
3288
Single Precision Score
5741
Half Precision Score
4638
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 31 2025 05:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2411
448.4 IPS |
|
|
Image Classification (Q)
|
96% |
1668
311.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2431
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6229
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
14113
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11794
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
97% |
2726
217.0 IPS |
|
|
Object Detection (Q)
|
94% |
1922
153.2 IPS |
|
|
Face Detection (SP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5535
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3113
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5314
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10628
82.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7358
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17118
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27288
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22420
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3801
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4786
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3637
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4165
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4139
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6676
115.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6487
112.1 IPS |
