iPhone 15 Plus
Geekbench AI Score
3503
Single Precision Score
6040
Half Precision Score
4879
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 03:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| 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% |
1448
269.3 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.5 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2709
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6660
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
14613
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12378
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2912
231.8 IPS |
|
|
Object Detection (Q)
|
94% |
2030
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6034
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3416
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6009
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12046
93.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8137
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17984
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27744
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23348
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3904
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3650
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2665
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4731
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4706
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5793
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5813
100.5 IPS |
