iPhone 14
Geekbench AI Score
3257
Single Precision Score
5691
Half Precision Score
4619
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 04:19 PM |
| Views | 1 |
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% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.1 IPS |
|
|
Image Classification (Q)
|
96% |
1645
307.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6340
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
13950
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11814
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2680
213.4 IPS |
|
|
Object Detection (Q)
|
94% |
1913
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
2773
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5504
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3122
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5240
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10513
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7271
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17037
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27356
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22569
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3800
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3623
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4199
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4169
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6259
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6321
109.2 IPS |
