iPhone 14 Plus
Geekbench AI Score
3299
Single Precision Score
5661
Half Precision Score
4597
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | brocksuire |
| Upload Date | September 06 2024 12:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
2355
437.9 IPS |
|
|
Image Classification (Q)
|
96% |
1640
306.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2499
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6402
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
14043
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11911
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.5 IPS |
|
|
Object Detection (HP)
|
97% |
2739
218.0 IPS |
|
|
Object Detection (Q)
|
94% |
1924
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2833
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
5769
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3234
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5518
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11176
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7629
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17663
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26956
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22286
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3904
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4648
171.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3492
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3983
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4065
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3492
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5748
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5750
99.4 IPS |
