iPhone 14 Plus
Geekbench AI Score
3277
Single Precision Score
5981
Half Precision Score
4843
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | April 14 2026 10:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4.1 |
| 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% |
1269
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
2387
443.9 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2425
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5625
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
13594
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11407
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (HP)
|
97% |
2679
213.3 IPS |
|
|
Object Detection (Q)
|
94% |
1906
151.9 IPS |
|
|
Face Detection (SP)
|
100% |
2705
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5633
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3132
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5043
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10513
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7329
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16025
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26051
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22560
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3498
129.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5043
186.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3622
133.7 IPS |
|
|
Text Classification (SP)
|
99% |
4536
6.05 KIPS |
|
|
Text Classification (HP)
|
100% |
7298
9.74 KIPS |
|
|
Text Classification (Q)
|
92% |
7126
9.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6034
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6064
104.8 IPS |
