iPhone 15
Geekbench AI Score
2758
Single Precision Score
2801
Half Precision Score
954
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1189
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
678
126.1 IPS |
|
|
Image Classification (Q)
|
97% |
486
90.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2590
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2349
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11592
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12326
14.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11132
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1279
101.5 IPS |
|
|
Object Detection (HP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (Q)
|
92% |
1126
89.9 IPS |
|
|
Face Detection (SP)
|
100% |
4477
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3727
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8209
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8818
67.9 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20836
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23410
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21545
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3534
130.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3755
138.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2994
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
366
488.6 IPS |
|
|
Text Classification (HP)
|
100% |
365
487.7 IPS |
|
|
Text Classification (Q)
|
93% |
221
297.0 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
827
14.3 IPS |
