iPhone 14
Geekbench AI Score
3212
Single Precision Score
5617
Half Precision Score
4547
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 04:18 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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.8 IPS |
|
|
Image Classification (Q)
|
96% |
1641
306.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2417
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6182
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
13515
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11628
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
97% |
2656
211.4 IPS |
|
|
Object Detection (Q)
|
94% |
1884
150.2 IPS |
|
|
Face Detection (SP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5414
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3073
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5171
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10376
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7180
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16815
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26888
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21670
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4755
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3557
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4314
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4201
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3527
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6038
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6094
105.3 IPS |
