iPhone 14
Geekbench AI Score
3293
Single Precision Score
5673
Half Precision Score
4590
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 10:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1372
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
2376
441.8 IPS |
|
|
Image Classification (Q)
|
96% |
1632
304.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2489
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6316
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
13719
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11728
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
97% |
2706
215.5 IPS |
|
|
Object Detection (Q)
|
94% |
1933
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
2832
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
5711
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3195
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5504
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11075
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7653
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17436
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27199
35.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22238
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3871
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3519
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2424
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4233
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4166
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3462
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5666
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5661
97.8 IPS |
