iPhone 14
Geekbench AI Score
3310
Single Precision Score
5789
Half Precision Score
4661
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 01:22 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% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
2376
441.8 IPS |
|
|
Image Classification (Q)
|
96% |
1641
306.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1330
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2453
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14474
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12214
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2745
218.5 IPS |
|
|
Object Detection (Q)
|
94% |
1949
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5664
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3197
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5367
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10499
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7413
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17606
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28157
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22932
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3872
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3661
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2485
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4334
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4346
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3715
64.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6336
109.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5849
101.1 IPS |
