iPhone 14 Plus
Geekbench AI Score
3386
Single Precision Score
3719
Half Precision Score
3457
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 04:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
864
160.6 IPS |
|
|
Image Classification (HP)
|
100% |
738
137.3 IPS |
|
|
Image Classification (Q)
|
96% |
573
107.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2790
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11347
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12667
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12373
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.8 IPS |
|
|
Object Detection (HP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (Q)
|
92% |
1177
94.0 IPS |
|
|
Face Detection (SP)
|
100% |
4195
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
5991
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
4865
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8494
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8522
65.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8176
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18698
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23241
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22629
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3632
134.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3329
122.9 IPS |
|
|
Text Classification (SP)
|
100% |
2514
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
899
15.5 IPS |
