iPhone 14 Plus
Geekbench AI Score
3387
Single Precision Score
4070
Half Precision Score
3383
Quantized Score
Geekbench AI 1.4.0 Corporate for iOS AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
643
119.7 IPS |
|
|
Image Classification (HP)
|
100% |
1254
233.1 IPS |
|
|
Image Classification (Q)
|
96% |
588
109.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2884
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2842
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11297
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12622
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12462
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (Q)
|
92% |
1238
98.8 IPS |
|
|
Face Detection (SP)
|
100% |
4826
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
5941
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
4227
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8611
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9543
73.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8195
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18642
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23235
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22518
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3763
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3538
130.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2720
100.4 IPS |
|
|
Text Classification (SP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4288
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4244
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
848
14.7 IPS |
