iPhone 14 Plus
Geekbench AI Score
1580
Single Precision Score
11309
Half Precision Score
12240
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 22 2025 05:14 AM |
| Views | 6 |
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% |
591
109.9 IPS |
|
|
Image Classification (HP)
|
100% |
5910
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5950
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7767
125.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8995
145.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2969
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
37671
44.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
37984
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
646
51.3 IPS |
|
|
Object Detection (HP)
|
99% |
6078
483.5 IPS |
|
|
Object Detection (Q)
|
91% |
6502
519.6 IPS |
|
|
Face Detection (SP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
12701
150.9 IPS |
|
|
Face Detection (Q)
|
100% |
16305
193.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2345
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
32950
253.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
38521
301.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7944
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
77540
99.7 IPS |
|
|
Style Transfer (Q)
|
96% |
73755
95.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16267
600.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18179
671.3 IPS |
|
|
Text Classification (SP)
|
100% |
1220
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1533
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1977
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4024
69.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4424
76.5 IPS |
