iPhone 15
Geekbench AI Score
3468
Single Precision Score
3923
Half Precision Score
3540
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 07:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
837
155.6 IPS |
|
|
Image Classification (HP)
|
100% |
1171
217.7 IPS |
|
|
Image Classification (Q)
|
96% |
1111
207.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2839
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2707
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11806
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12388
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11956
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
1463
116.0 IPS |
|
|
Object Detection (Q)
|
92% |
1225
97.8 IPS |
|
|
Face Detection (SP)
|
100% |
4763
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
4758
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
4104
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8291
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8545
65.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7813
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21225
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23385
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22671
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2494
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4778
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4753
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
815
14.1 IPS |
