iPhone 14 Plus
Geekbench AI Score
3310
Single Precision Score
6013
Half Precision Score
4869
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 25 2026 03:37 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
2399
446.2 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2450
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5706
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
13883
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11772
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.3 IPS |
|
|
Object Detection (HP)
|
97% |
2711
215.9 IPS |
|
|
Object Detection (Q)
|
94% |
1920
153.0 IPS |
|
|
Face Detection (SP)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5714
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3168
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5164
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10500
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7378
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16505
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27769
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22757
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3534
130.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4776
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3641
134.5 IPS |
|
|
Text Classification (SP)
|
99% |
4539
6.06 KIPS |
|
|
Text Classification (HP)
|
99% |
7099
9.48 KIPS |
|
|
Text Classification (Q)
|
93% |
7014
9.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6171
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6015
104.0 IPS |
