iPhone 14
Geekbench AI Score
3257
Single Precision Score
5777
Half Precision Score
4641
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
2418
449.6 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2454
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6115
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14026
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11762
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
97% |
2707
215.5 IPS |
|
|
Object Detection (Q)
|
94% |
1928
153.7 IPS |
|
|
Face Detection (SP)
|
100% |
2719
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5471
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3087
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5188
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10532
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7263
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16986
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27395
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22320
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3802
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5018
185.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3625
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
2516
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4306
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4293
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6519
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6385
110.3 IPS |
