iPhone 15
Geekbench AI Score
3347
Single Precision Score
5862
Half Precision Score
4728
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 03:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1431
266.1 IPS |
|
|
Image Classification (HP)
|
100% |
2501
465.2 IPS |
|
|
Image Classification (Q)
|
96% |
1725
322.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2664
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5849
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13140
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11232
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2874
228.8 IPS |
|
|
Object Detection (Q)
|
94% |
1992
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6004
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3325
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5739
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11673
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7761
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17067
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26655
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22322
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3774
139.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4679
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3512
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4650
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4666
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5762
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5761
99.6 IPS |
