iPhone 14
Geekbench AI Score
2974
Single Precision Score
4508
Half Precision Score
3864
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 08:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
1763
327.9 IPS |
|
|
Image Classification (Q)
|
96% |
1352
252.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1681
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5666
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13396
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11235
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1452
115.1 IPS |
|
|
Object Detection (HP)
|
97% |
2109
167.9 IPS |
|
|
Object Detection (Q)
|
94% |
1615
128.7 IPS |
|
|
Face Detection (SP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (Q)
|
100% |
2527
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4828
37.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7961
61.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5931
46.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16018
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25094
32.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20933
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3439
127.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4628
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3485
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3812
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2675
46.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4327
74.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4320
74.7 IPS |
