iPhone 14 Plus
Geekbench AI Score
3023
Single Precision Score
5281
Half Precision Score
4228
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 08:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1186
220.6 IPS |
|
|
Image Classification (HP)
|
100% |
2095
389.6 IPS |
|
|
Image Classification (Q)
|
96% |
1453
271.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1817
29.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2158
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4994
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
11769
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10161
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.2 IPS |
|
|
Object Detection (HP)
|
97% |
2540
202.2 IPS |
|
|
Object Detection (Q)
|
94% |
1775
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
2672
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5300
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
2937
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4985
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10511
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7027
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15943
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25148
32.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20638
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4646
171.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3296
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4161
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4155
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5484
94.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5537
95.7 IPS |
