iPhone 14 Plus
Geekbench AI Score
3270
Single Precision Score
20290
Half Precision Score
23390
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 04:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
7868
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
10608
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13903
225.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15851
256.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6306
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
87645
102.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
96213
112.8 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (HP)
|
99% |
11094
882.5 IPS |
|
|
Object Detection (Q)
|
91% |
12346
986.5 IPS |
|
|
Face Detection (SP)
|
100% |
2793
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
28538
339.1 IPS |
|
|
Face Detection (Q)
|
100% |
36608
435.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5344
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
56387
434.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
83001
648.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17086
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
156399
201.1 IPS |
|
|
Style Transfer (Q)
|
96% |
165458
213.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3781
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29158
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28689
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2379
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6334
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7152
123.6 IPS |
