iPhone 14
Geekbench AI Score
3100
Single Precision Score
5696
Half Precision Score
4627
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 05 2026 11:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1261
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
2398
446.0 IPS |
|
|
Image Classification (Q)
|
96% |
1665
311.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2449
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5831
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
13687
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11436
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
97% |
2710
215.7 IPS |
|
|
Object Detection (Q)
|
94% |
1924
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5584
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3100
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4900
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10409
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7317
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16424
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26305
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22076
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3551
131.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4794
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3621
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
2581
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4245
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4212
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6595
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6576
113.6 IPS |
