iPhone 14 Plus
Geekbench AI Score
3333
Single Precision Score
20258
Half Precision Score
22127
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | April 14 2026 10:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1254
233.3 IPS |
|
|
Image Classification (HP)
|
100% |
8606
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
10281
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12888
208.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14183
229.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5821
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
85935
100.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
85151
99.8 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
99% |
10962
872.0 IPS |
|
|
Object Detection (Q)
|
89% |
11859
949.3 IPS |
|
|
Face Detection (SP)
|
100% |
2742
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
26422
314.0 IPS |
|
|
Face Detection (Q)
|
100% |
35903
426.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5188
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
58555
451.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
70260
549.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16765
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
153046
196.7 IPS |
|
|
Style Transfer (Q)
|
96% |
147563
190.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3545
130.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29409
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28017
1.03 KIPS |
|
|
Text Classification (SP)
|
99% |
4517
6.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2460
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6576
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7449
128.7 IPS |
