iPhone 14
Geekbench AI Score
3262
Single Precision Score
5643
Half Precision Score
4535
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | December 09 2024 06:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.1 IPS |
|
|
Image Classification (Q)
|
96% |
1637
305.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2037
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2466
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6107
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
13668
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11421
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
97% |
2706
215.4 IPS |
|
|
Object Detection (Q)
|
94% |
1926
153.5 IPS |
|
|
Face Detection (SP)
|
100% |
2792
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
5676
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3139
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5400
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10904
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7523
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17224
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26905
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21977
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4727
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3470
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4091
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5645
97.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5636
97.4 IPS |
