iPhone 14
Geekbench AI Score
3171
Single Precision Score
5509
Half Precision Score
4428
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:10 PM |
| Views | 1 |
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% |
1355
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2431
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5895
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
12967
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10927
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
2656
211.4 IPS |
|
|
Object Detection (Q)
|
94% |
1888
150.5 IPS |
|
|
Face Detection (SP)
|
100% |
2763
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5570
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3073
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5277
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10824
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7419
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16462
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25192
32.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21214
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4678
172.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3478
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4097
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5509
95.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5161
89.2 IPS |
