iPhone 14
Geekbench AI Score
3224
Single Precision Score
5479
Half Precision Score
4518
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
1838
341.8 IPS |
|
|
Image Classification (Q)
|
96% |
1614
301.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2313
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5682
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
12985
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11457
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (HP)
|
97% |
2701
215.1 IPS |
|
|
Object Detection (Q)
|
94% |
1895
151.0 IPS |
|
|
Face Detection (SP)
|
100% |
2807
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
5738
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3189
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5451
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11151
86.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7617
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17436
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26686
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22108
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3907
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4781
176.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3535
130.5 IPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4154
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4047
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3506
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5777
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5697
98.5 IPS |
