iPhone 15
Geekbench AI Score
3417
Single Precision Score
5941
Half Precision Score
4759
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1443
268.3 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.2 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2685
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6294
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
13863
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11638
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2862
227.9 IPS |
|
|
Object Detection (Q)
|
94% |
2001
159.5 IPS |
|
|
Face Detection (SP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
5932
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3323
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5786
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11883
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7877
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17091
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27025
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22536
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3546
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
2665
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4650
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4613
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3353
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5817
100.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5697
98.4 IPS |
