iPhone 14
Geekbench AI Score
1490
Single Precision Score
2649
Half Precision Score
2148
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 07:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
521
96.9 IPS |
|
|
Image Classification (HP)
|
100% |
1035
192.5 IPS |
|
|
Image Classification (Q)
|
96% |
717
133.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1119
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2748
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6458
7.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
5526
6.48 IPS |
|
|
Object Detection (SP)
|
100% |
588
46.7 IPS |
|
|
Object Detection (HP)
|
97% |
1185
94.3 IPS |
|
|
Object Detection (Q)
|
94% |
847
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
2546
30.3 IPS |
|
|
Face Detection (Q)
|
100% |
1448
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2247
17.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4571
35.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
3260
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7719
9.92 IPS |
|
|
Style Transfer (HP)
|
100% |
12219
15.7 IPS |
|
|
Style Transfer (Q)
|
96% |
10114
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2216
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1659
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (HP)
|
99% |
2084
2.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2075
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3394
58.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3391
58.6 IPS |
