iPhone 15
Geekbench AI Score
3401
Single Precision Score
3722
Half Precision Score
3830
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 03:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
730
135.8 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.7 IPS |
|
|
Image Classification (Q)
|
96% |
1140
212.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2850
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2783
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11811
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12405
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12020
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (Q)
|
92% |
1220
97.4 IPS |
|
|
Face Detection (SP)
|
100% |
4063
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
4693
55.8 IPS |
|
|
Face Detection (Q)
|
100% |
4879
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8334
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8613
66.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7932
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21028
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23290
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22887
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3667
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3870
142.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3556
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
2678
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4767
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4725
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
981
17.0 IPS |
