iPhone 15
Geekbench AI Score
3459
Single Precision Score
5996
Half Precision Score
4846
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | December 08 2024 11:45 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.3 IPS |
|
|
Image Classification (Q)
|
96% |
1751
327.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2193
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2704
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6442
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
14132
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11895
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2900
230.8 IPS |
|
|
Object Detection (Q)
|
94% |
2057
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6064
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3392
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5928
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11926
92.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8044
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17635
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27474
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22956
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3889
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4898
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3601
133.0 IPS |
|
|
Text Classification (SP)
|
100% |
2647
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4699
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4686
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3377
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5787
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5836
100.9 IPS |
