iPhone 14 Plus
Geekbench AI Score
3355
Single Precision Score
20026
Half Precision Score
22082
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 31 2025 05:05 AM |
| Views | 8 |
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% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
7937
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
10480
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14083
228.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15059
244.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6503
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
76558
89.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
81734
95.8 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.3 IPS |
|
|
Object Detection (HP)
|
99% |
11194
890.5 IPS |
|
|
Object Detection (Q)
|
91% |
12298
982.7 IPS |
|
|
Face Detection (SP)
|
100% |
2815
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
28367
337.1 IPS |
|
|
Face Detection (Q)
|
100% |
36012
427.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5479
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55153
424.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
64427
503.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17797
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
151733
195.1 IPS |
|
|
Style Transfer (Q)
|
96% |
146822
189.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3875
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29759
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29329
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2596
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2445
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3789
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6293
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7114
122.9 IPS |
