iPhone 14 Plus
Geekbench AI Score
3371
Single Precision Score
19898
Half Precision Score
22114
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 03:30 PM |
| Views | 3 |
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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
7889
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
10166
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13429
217.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15787
255.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6600
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
87206
101.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
83643
98.0 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
10513
836.3 IPS |
|
|
Object Detection (Q)
|
91% |
11617
928.2 IPS |
|
|
Face Detection (SP)
|
100% |
2827
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
28447
338.0 IPS |
|
|
Face Detection (Q)
|
100% |
35866
426.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5411
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58348
449.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
70490
550.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17661
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
142397
183.1 IPS |
|
|
Style Transfer (Q)
|
96% |
141511
182.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3849
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28721
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28953
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2395
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3772
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6301
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7230
124.9 IPS |
