iPhone 15
Geekbench AI Score
3505
Single Precision Score
5906
Half Precision Score
4884
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | December 27 2024 10:14 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% |
1421
264.2 IPS |
|
|
Image Classification (HP)
|
100% |
2538
472.0 IPS |
|
|
Image Classification (Q)
|
96% |
1731
323.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2704
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6666
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
14500
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12187
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2927
233.1 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6157
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3452
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5940
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12062
93.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8180
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18138
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27879
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23155
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3965
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4925
181.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3702
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4628
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4663
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5910
102.1 IPS |
