iPhone 14
Geekbench AI Score
1437
Single Precision Score
2090
Half Precision Score
1792
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 08:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (HP)
|
100% |
775
144.2 IPS |
|
|
Image Classification (Q)
|
96% |
586
109.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
766
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2691
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6155
7.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
5292
6.20 IPS |
|
|
Object Detection (SP)
|
100% |
655
51.9 IPS |
|
|
Object Detection (HP)
|
97% |
931
74.2 IPS |
|
|
Object Detection (Q)
|
94% |
715
57.0 IPS |
|
|
Face Detection (SP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (Q)
|
100% |
1183
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2218
17.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
3545
27.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
2651
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7403
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
11422
14.7 IPS |
|
|
Style Transfer (Q)
|
96% |
9571
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2150
79.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1584
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
1133
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1856
2.48 KIPS |
|
|
Text Classification (Q)
|
93% |
1854
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1498
25.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2280
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2281
39.4 IPS |
