iPhone 15
Geekbench AI Score
3214
Single Precision Score
5813
Half Precision Score
4682
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 17 2025 10:06 PM |
| Views | 1 |
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% |
1374
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.4 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2606
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6032
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
13518
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11247
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2853
227.1 IPS |
|
|
Object Detection (Q)
|
94% |
2002
159.6 IPS |
|
|
Face Detection (SP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
5666
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3173
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5400
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10934
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7375
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15632
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25915
33.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21190
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3562
131.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4914
181.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3501
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2674
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4818
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4792
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2956
50.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5677
98.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5946
102.8 IPS |
