iPhone 14 Plus
Geekbench AI Score
3125
Single Precision Score
5669
Half Precision Score
4614
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 03:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1267
235.6 IPS |
|
|
Image Classification (HP)
|
100% |
2430
451.9 IPS |
|
|
Image Classification (Q)
|
96% |
1675
312.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2441
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5836
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13732
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11773
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.4 IPS |
|
|
Object Detection (HP)
|
97% |
2697
214.7 IPS |
|
|
Object Detection (Q)
|
94% |
1912
152.4 IPS |
|
|
Face Detection (SP)
|
100% |
2746
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5462
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3106
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5038
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10505
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7280
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16495
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26267
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21472
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3526
130.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3608
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4219
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4169
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6434
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6517
112.6 IPS |
