iPhone 15
Geekbench AI Score
3457
Single Precision Score
6006
Half Precision Score
4852
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 09:36 AM |
| 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% |
1432
266.3 IPS |
|
|
Image Classification (HP)
|
100% |
2563
476.7 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2701
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
14257
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12012
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
97% |
2934
233.6 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6096
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3419
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5831
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11969
92.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8025
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17705
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27536
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23053
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3884
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4754
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3644
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4607
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4621
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3365
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5830
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5839
100.9 IPS |
