iPhone 15 Plus
Geekbench AI Score
3532
Single Precision Score
23453
Half Precision Score
27258
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 09:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
10495
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
12727
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13898
225.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19367
314.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6609
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
102738
119.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105333
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
12656
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14451
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
32219
382.8 IPS |
|
|
Face Detection (Q)
|
100% |
39949
474.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5976
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
75263
579.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
94945
742.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18534
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
179636
230.9 IPS |
|
|
Style Transfer (Q)
|
96% |
177122
228.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4018
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31535
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37562
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2842
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7660
131.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8416
145.4 IPS |
