iPhone 14
Geekbench AI Score
3275
Single Precision Score
16764
Half Precision Score
18617
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
8804
1.64 KIPS |
|
|
Image Classification (Q)
|
96% |
11011
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6923
112.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7569
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6269
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
87327
101.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
93834
110.0 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
99% |
10626
845.3 IPS |
|
|
Object Detection (Q)
|
91% |
11767
940.2 IPS |
|
|
Face Detection (SP)
|
100% |
2794
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
27126
322.3 IPS |
|
|
Face Detection (Q)
|
100% |
33091
393.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5330
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
54313
418.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
71963
562.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17013
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
154496
198.6 IPS |
|
|
Style Transfer (Q)
|
96% |
161423
208.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3824
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27010
997.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28814
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2261
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2171
37.5 IPS |
