iPhone 15
Geekbench AI Score
3466
Single Precision Score
6010
Half Precision Score
4823
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wierzbi |
| Upload Date | December 04 2024 08:16 PM |
| Views | 3 |
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% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.7 IPS |
|
|
Image Classification (Q)
|
96% |
1735
323.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2707
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6519
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
14329
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12086
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.1 IPS |
|
|
Object Detection (HP)
|
97% |
2920
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2027
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6109
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3370
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5874
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12073
93.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7969
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17697
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27283
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22727
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3890
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4891
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3652
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2610
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4547
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3380
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5795
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5843
101.0 IPS |
