iPhone 15
Geekbench AI Score
3368
Single Precision Score
6032
Half Precision Score
4845
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 03:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.9 IPS |
|
|
Image Classification (Q)
|
96% |
1740
324.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2637
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6251
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
13961
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11562
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2886
229.7 IPS |
|
|
Object Detection (Q)
|
94% |
2034
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5883
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3305
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5640
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11380
88.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7733
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16851
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27593
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22459
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5123
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3797
140.2 IPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4776
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4788
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6466
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6342
109.6 IPS |
