iPhone 15
Geekbench AI Score
3335
Single Precision Score
6031
Half Precision Score
4838
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 29 2025 08:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2564
476.8 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2205
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2632
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5948
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
13414
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11369
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2906
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2021
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
3076
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5882
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3253
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5689
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11311
87.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7741
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16311
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26791
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22315
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3626
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5186
191.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3779
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
2665
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4954
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4873
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6315
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6370
110.1 IPS |
