iPhone 14
Geekbench AI Score
3259
Single Precision Score
5752
Half Precision Score
4632
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 01:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
2368
440.3 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2454
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6349
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
14017
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11670
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2741
218.2 IPS |
|
|
Object Detection (Q)
|
94% |
1925
153.5 IPS |
|
|
Face Detection (SP)
|
100% |
2775
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
5593
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3176
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5256
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10433
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7293
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17287
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27921
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22469
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3830
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5051
186.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3643
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4250
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4240
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6319
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6309
109.0 IPS |
