iPhone 14
Geekbench AI Score
3255
Single Precision Score
5728
Half Precision Score
4651
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 01:01 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2369
440.5 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2445
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6339
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
14210
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11804
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
2719
216.5 IPS |
|
|
Object Detection (Q)
|
94% |
1925
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2763
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5511
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3143
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5334
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10595
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7392
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16771
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27595
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22637
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4790
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3611
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4293
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4280
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3680
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6317
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6407
110.7 IPS |
