iPhone 14 Plus
Geekbench AI Score
3216
Single Precision Score
5687
Half Precision Score
4589
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 04:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.2 IPS |
|
|
Image Classification (Q)
|
96% |
1640
306.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2430
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6355
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
13841
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11664
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
2698
214.8 IPS |
|
|
Object Detection (Q)
|
94% |
1890
150.6 IPS |
|
|
Face Detection (SP)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5492
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3101
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5229
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10496
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7225
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16756
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27488
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22145
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4788
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3622
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4238
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4297
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6289
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6116
105.7 IPS |
