iPhone 14
Geekbench AI Score
3337
Single Precision Score
5747
Half Precision Score
4655
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 02:34 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% |
1364
253.6 IPS |
|
|
Image Classification (HP)
|
100% |
2355
438.0 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2518
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6607
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
14329
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12053
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
97% |
2767
220.3 IPS |
|
|
Object Detection (Q)
|
94% |
1950
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2857
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
5798
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3264
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5537
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11283
87.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7665
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17821
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27066
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22576
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3900
144.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4709
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3517
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4251
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4201
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5865
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5949
102.8 IPS |
