iPhone 14 Plus
Geekbench AI Score
3096
Single Precision Score
3208
Half Precision Score
3015
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 01:51 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% |
859
159.7 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.7 IPS |
|
|
Image Classification (Q)
|
97% |
689
128.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2480
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10930
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12188
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11281
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (Q)
|
91% |
1070
85.5 IPS |
|
|
Face Detection (SP)
|
100% |
4833
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
3979
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
4193
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8612
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9333
71.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7692
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18712
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22681
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21228
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3322
122.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2906
107.3 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4124
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (Q)
|
98% |
367
6.34 IPS |
