iPhone 14 Plus
Geekbench AI Score
3177
Single Precision Score
20715
Half Precision Score
23098
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 05:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
9318
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
10279
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13291
215.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15368
249.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5746
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
91706
107.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
95965
112.5 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (HP)
|
99% |
11088
882.1 IPS |
|
|
Object Detection (Q)
|
91% |
11608
927.6 IPS |
|
|
Face Detection (SP)
|
100% |
2734
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
28892
343.3 IPS |
|
|
Face Detection (Q)
|
100% |
36370
432.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5099
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59358
457.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
73394
573.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16135
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
167943
215.9 IPS |
|
|
Style Transfer (Q)
|
96% |
169910
219.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27516
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30707
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2297
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3654
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6576
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7679
132.7 IPS |
