iPhone 14
Geekbench AI Score
3248
Single Precision Score
5723
Half Precision Score
4632
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 01:36 PM |
| Views | 3 |
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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2370
440.8 IPS |
|
|
Image Classification (Q)
|
96% |
1637
305.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2410
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6160
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
13845
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11674
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (HP)
|
97% |
2710
215.8 IPS |
|
|
Object Detection (Q)
|
94% |
1905
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
2759
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5535
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3118
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5321
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10649
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7336
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16937
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27744
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22685
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3804
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4816
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3605
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4355
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4329
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3587
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6286
108.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6406
110.7 IPS |
