iPhone 14 Plus
Geekbench AI Score
3369
Single Precision Score
3643
Half Precision Score
3539
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | brocksuire |
| Upload Date | June 13 2025 12:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
686
127.6 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.2 IPS |
|
|
Image Classification (Q)
|
96% |
665
124.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2814
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2765
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11354
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12753
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12359
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.8 IPS |
|
|
Object Detection (HP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (Q)
|
92% |
1322
105.5 IPS |
|
|
Face Detection (SP)
|
100% |
4095
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
4646
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
4833
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8859
68.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8245
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19026
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23226
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22400
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3884
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3389
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
2470
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3943
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
862
14.9 IPS |
