iPhone 14 Plus
Geekbench AI Score
3251
Single Precision Score
5712
Half Precision Score
4603
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 17 2025 03:59 AM |
| Views | 5 |
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% |
1359
252.7 IPS |
|
|
Image Classification (HP)
|
100% |
2419
449.8 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2352
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6003
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
13749
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11424
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
97% |
2604
207.3 IPS |
|
|
Object Detection (Q)
|
94% |
1885
150.2 IPS |
|
|
Face Detection (SP)
|
100% |
2704
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5518
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3104
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5305
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10608
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7335
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16778
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27027
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21981
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3840
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3618
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2560
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4193
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3724
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6539
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6629
114.6 IPS |
