iPhone 14
Geekbench AI Score
3297
Single Precision Score
5779
Half Precision Score
4694
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 12:34 PM |
| Views | 4 |
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% |
1346
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.0 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2452
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6519
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
14422
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12259
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
97% |
2743
218.4 IPS |
|
|
Object Detection (Q)
|
94% |
1949
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5665
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3182
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5393
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10478
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7387
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17452
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27717
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22952
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3649
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4371
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4314
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3724
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6420
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6436
111.2 IPS |
