iPhone 14 Plus
Geekbench AI Score
3291
Single Precision Score
19811
Half Precision Score
21843
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | September 08 2025 10:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1317
244.8 IPS |
|
|
Image Classification (HP)
|
100% |
7893
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
10270
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13383
216.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13812
223.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6181
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
77813
90.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
83884
98.3 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
99% |
10495
834.8 IPS |
|
|
Object Detection (Q)
|
91% |
12225
976.8 IPS |
|
|
Face Detection (SP)
|
100% |
2747
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
28548
339.2 IPS |
|
|
Face Detection (Q)
|
100% |
36178
429.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5357
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56820
437.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
67683
528.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17161
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
149714
192.5 IPS |
|
|
Style Transfer (Q)
|
96% |
143302
184.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28893
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28008
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2408
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3771
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6399
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7183
124.1 IPS |
