iPhone 14 Plus
Geekbench AI Score
3214
Single Precision Score
3424
Half Precision Score
3128
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 05:47 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% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
1183
219.9 IPS |
|
|
Image Classification (Q)
|
97% |
941
175.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2421
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11432
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12473
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11389
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (HP)
|
100% |
1300
103.1 IPS |
|
|
Object Detection (Q)
|
91% |
1251
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
4093
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
4464
53.0 IPS |
|
|
Face Detection (Q)
|
100% |
3727
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8362
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8290
63.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7435
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18872
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22447
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21591
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3628
134.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2998
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4174
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4069
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (Q)
|
98% |
379
6.54 IPS |
