iPhone 14 Plus
Geekbench AI Score
3014
Single Precision Score
3303
Half Precision Score
3061
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 08:17 AM |
| 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% |
1278
237.7 IPS |
|
|
Image Classification (HP)
|
100% |
1059
196.9 IPS |
|
|
Image Classification (Q)
|
97% |
868
162.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2415
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10679
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9473
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10776
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
1263
100.2 IPS |
|
|
Object Detection (Q)
|
91% |
1151
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
4022
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
4536
53.9 IPS |
|
|
Face Detection (Q)
|
100% |
3967
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8268
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8747
67.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7241
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18983
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22812
29.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21227
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3623
133.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3009
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4120
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4040
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
98% |
375
6.49 IPS |
