iPhone 14
Geekbench AI Score
3146
Single Precision Score
5766
Half Precision Score
4694
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 11:06 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% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
2402
446.6 IPS |
|
|
Image Classification (Q)
|
96% |
1676
312.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2496
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6023
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14232
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11974
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
97% |
2746
218.6 IPS |
|
|
Object Detection (Q)
|
94% |
1968
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5634
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3157
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5121
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10672
82.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7407
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16872
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27225
35.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22231
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3590
132.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4757
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3668
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4172
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4149
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3458
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6691
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6662
115.1 IPS |
