iPhone 14 Plus
Geekbench AI Score
3181
Single Precision Score
3320
Half Precision Score
2963
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1199
223.0 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.4 IPS |
|
|
Image Classification (Q)
|
97% |
598
111.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2435
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11290
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12296
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11414
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1361
107.9 IPS |
|
|
Object Detection (HP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (Q)
|
91% |
1105
88.3 IPS |
|
|
Face Detection (SP)
|
100% |
4779
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
5901
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
3887
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8160
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8910
68.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7178
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18770
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22815
29.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21426
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3628
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3441
127.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3142
116.0 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4101
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4088
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (Q)
|
98% |
371
6.42 IPS |
