iPhone 15 Plus
Geekbench AI Score
3246
Single Precision Score
5736
Half Precision Score
4559
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 30 2025 04:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1439
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
2556
475.4 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2562
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5552
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
12325
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10001
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
97% |
2799
222.8 IPS |
|
|
Object Detection (Q)
|
94% |
1958
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5756
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3197
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5211
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10844
83.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7261
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15584
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25529
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21385
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4756
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3359
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4751
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4701
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3301
56.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5653
97.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5649
97.6 IPS |
