iPhone 14 Plus
Geekbench AI Score
3486
Single Precision Score
3983
Half Precision Score
3777
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 09:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
792
147.3 IPS |
|
|
Image Classification (HP)
|
100% |
1241
230.8 IPS |
|
|
Image Classification (Q)
|
96% |
1161
216.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2878
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2842
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11248
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12846
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12362
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (Q)
|
92% |
1323
105.6 IPS |
|
|
Face Detection (SP)
|
100% |
5052
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
4709
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
4597
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8358
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9021
69.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8321
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18746
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23178
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22544
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3893
143.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3466
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4247
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4189
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
875
15.1 IPS |
