iPhone 14
Geekbench AI Score
3157
Single Precision Score
5583
Half Precision Score
4515
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 12:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
2309
429.4 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2339
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5666
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13037
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11129
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.8 IPS |
|
|
Object Detection (HP)
|
97% |
2636
209.8 IPS |
|
|
Object Detection (Q)
|
94% |
1847
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2705
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5398
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3035
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5207
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10463
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7217
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16382
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27044
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22073
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4787
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3563
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4294
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4288
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6229
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6330
109.4 IPS |
