iPhone 14 Plus
Geekbench AI Score
3365
Single Precision Score
15178
Half Precision Score
16710
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | brocksuire |
| Upload Date | August 16 2024 03:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1362
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
8810
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
9520
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6881
111.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
6481
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6612
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
82147
95.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
89503
105.0 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
99% |
9956
792.0 IPS |
|
|
Object Detection (Q)
|
91% |
11198
894.8 IPS |
|
|
Face Detection (SP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
17714
210.5 IPS |
|
|
Face Detection (Q)
|
100% |
28497
338.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5604
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46776
360.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
52547
406.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17838
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
108373
139.3 IPS |
|
|
Style Transfer (Q)
|
100% |
108731
139.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3971
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26813
990.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
31460
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2314
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2316
40.0 IPS |
