iPhone 14 Plus
Geekbench AI Score
3254
Single Precision Score
5700
Half Precision Score
4630
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | September 08 2025 10:53 PM |
| Views | 4 |
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% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
2428
451.5 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2425
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6172
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
13887
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11740
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
2643
210.4 IPS |
|
|
Object Detection (Q)
|
94% |
1889
150.6 IPS |
|
|
Face Detection (SP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5493
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3106
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5250
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10457
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7325
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16782
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27038
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21874
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4785
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3626
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
2531
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
4235
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4207
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6596
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6618
114.4 IPS |
