iPhone 15
Geekbench AI Score
3481
Single Precision Score
6055
Half Precision Score
4862
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | December 18 2024 01:00 PM |
| Views | 4 |
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% |
1432
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
2508
466.3 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2705
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6679
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
14609
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12242
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
97% |
2915
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6121
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
3427
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5956
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12138
93.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8034
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18229
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27794
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23203
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3966
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4860
179.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3653
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4577
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5926
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5899
101.9 IPS |
