iPhone 14 Plus
Geekbench AI Score
3207
Single Precision Score
5641
Half Precision Score
4556
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Lyh1993 |
| Upload Date | September 20 2025 06:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.6 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2394
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6103
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
13763
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11468
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2642
210.3 IPS |
|
|
Object Detection (Q)
|
94% |
1833
146.1 IPS |
|
|
Face Detection (SP)
|
100% |
2665
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5387
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3064
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5162
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10483
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7219
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16720
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27020
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22035
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3733
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4769
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3579
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
2454
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4260
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4242
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6222
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6377
110.2 IPS |
