iPhone 15
Geekbench AI Score
3012
Single Precision Score
4659
Half Precision Score
4013
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 03:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1441
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
1902
353.8 IPS |
|
|
Image Classification (Q)
|
96% |
1463
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1780
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5407
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
12712
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10976
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.2 IPS |
|
|
Object Detection (HP)
|
97% |
2152
171.3 IPS |
|
|
Object Detection (Q)
|
94% |
1655
131.9 IPS |
|
|
Face Detection (SP)
|
100% |
2633
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
4273
50.8 IPS |
|
|
Face Detection (Q)
|
100% |
2674
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4814
37.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
7929
61.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6025
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15607
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24807
31.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20724
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3480
128.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4738
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3515
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2515
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4330
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4320
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4553
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4527
78.2 IPS |
