iPhone 14 Plus
Geekbench AI Score
3255
Single Precision Score
5615
Half Precision Score
4529
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | brocksuire |
| Upload Date | November 27 2024 02:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1361
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
2351
437.3 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2459
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6187
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
13546
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11370
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
97% |
2698
214.8 IPS |
|
|
Object Detection (Q)
|
94% |
1906
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
5728
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3159
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5456
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11041
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7529
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17313
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26728
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21975
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3852
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4717
174.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3486
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4071
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4063
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5616
97.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5653
97.7 IPS |
