iPhone 15
Geekbench AI Score
3386
Single Precision Score
5893
Half Precision Score
4769
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Cric_Hammel |
| Upload Date | February 21 2025 11:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1433
266.5 IPS |
|
|
Image Classification (HP)
|
100% |
2543
472.9 IPS |
|
|
Image Classification (Q)
|
96% |
1754
327.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2693
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6195
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
13608
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11529
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2844
226.4 IPS |
|
|
Object Detection (Q)
|
94% |
2009
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
5956
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3339
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5705
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11647
90.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7887
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17192
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26949
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22428
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3791
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4716
174.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3543
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4598
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4590
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5853
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5797
100.2 IPS |
