iPhone 15
Geekbench AI Score
3389
Single Precision Score
6055
Half Precision Score
4901
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 01:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
2556
475.3 IPS |
|
|
Image Classification (Q)
|
96% |
1751
326.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2641
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6247
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
14068
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12144
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
97% |
2872
228.7 IPS |
|
|
Object Detection (Q)
|
94% |
2034
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5927
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
3319
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5722
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11342
87.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7776
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16774
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28180
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23000
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3766
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3843
141.9 IPS |
|
|
Text Classification (SP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4829
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4761
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3505
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6428
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6457
111.6 IPS |
