iPhone 14
Geekbench AI Score
3237
Single Precision Score
5707
Half Precision Score
4620
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 30 2025 09:48 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1318
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.2 IPS |
|
|
Image Classification (Q)
|
96% |
1635
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2427
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6230
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
13994
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11606
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2712
215.9 IPS |
|
|
Object Detection (Q)
|
94% |
1929
153.7 IPS |
|
|
Face Detection (SP)
|
100% |
2773
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5542
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3126
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5339
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10567
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7351
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16803
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27154
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22250
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3760
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4760
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3590
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2476
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4395
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4290
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6238
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6334
109.5 IPS |
