iPhone 14 Plus
Geekbench AI Score
1610
Single Precision Score
2696
Half Precision Score
2162
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 22 2025 05:07 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% |
590
109.6 IPS |
|
|
Image Classification (HP)
|
100% |
1057
196.5 IPS |
|
|
Image Classification (Q)
|
96% |
724
135.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1119
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3065
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
6556
7.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
5581
6.54 IPS |
|
|
Object Detection (SP)
|
100% |
693
54.9 IPS |
|
|
Object Detection (HP)
|
97% |
1214
96.6 IPS |
|
|
Object Detection (Q)
|
94% |
855
68.2 IPS |
|
|
Face Detection (SP)
|
100% |
1571
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
2555
30.4 IPS |
|
|
Face Detection (Q)
|
100% |
1453
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2419
18.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4566
35.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
3245
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7950
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12613
16.2 IPS |
|
|
Style Transfer (Q)
|
96% |
10336
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2306
85.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1663
61.4 IPS |
|
|
Text Classification (SP)
|
100% |
1229
1.64 KIPS |
|
|
Text Classification (HP)
|
99% |
2104
2.81 KIPS |
|
|
Text Classification (Q)
|
93% |
2093
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1984
34.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3425
59.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3414
59.0 IPS |
