iPhone 14
Geekbench AI Score
3224
Single Precision Score
19409
Half Precision Score
22147
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | robco |
| Upload Date | February 12 2025 09:30 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
7870
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
10303
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12122
196.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14128
229.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6006
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
87174
101.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93601
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
11077
881.1 IPS |
|
|
Object Detection (Q)
|
91% |
11355
907.3 IPS |
|
|
Face Detection (SP)
|
100% |
2752
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
25654
304.8 IPS |
|
|
Face Detection (Q)
|
100% |
32061
381.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5328
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
52498
404.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
74902
585.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16894
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
156262
200.9 IPS |
|
|
Style Transfer (Q)
|
96% |
162985
210.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3828
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27315
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27749
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2393
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3447
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6339
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7061
122.0 IPS |
