iPhone 14 Plus
Geekbench AI Score
3313
Single Precision Score
5684
Half Precision Score
4924
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | brocksuire |
| Upload Date | August 16 2024 03:27 AM |
| Views | 3 |
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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
2347
436.5 IPS |
|
|
Image Classification (Q)
|
99% |
2348
438.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2018
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6389
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
13957
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11544
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
97% |
2722
216.7 IPS |
|
|
Object Detection (Q)
|
94% |
1933
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
2831
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
5681
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3186
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5462
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11029
85.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
11191
86.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17504
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27010
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
27137
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3917
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3477
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4200
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4197
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5698
98.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5619
97.1 IPS |
