iPhone 14 Plus
Geekbench AI Score
3288
Single Precision Score
15601
Half Precision Score
18159
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:13 PM |
| Views | 1 |
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% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
7889
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
8895
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6912
112.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8239
133.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6328
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
86923
101.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
92724
108.7 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
99% |
10436
830.1 IPS |
|
|
Object Detection (Q)
|
91% |
11495
918.5 IPS |
|
|
Face Detection (SP)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
25034
297.5 IPS |
|
|
Face Detection (Q)
|
100% |
34532
410.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5501
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52285
402.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
73527
574.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17275
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
151109
194.3 IPS |
|
|
Style Transfer (Q)
|
96% |
152646
197.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3903
144.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26764
988.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28438
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2124
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2163
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2133
36.9 IPS |
