iPhone 15 Plus
Geekbench AI Score
3158
Single Precision Score
21799
Half Precision Score
25673
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 08:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
10540
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
12330
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14256
231.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18281
296.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5219
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
88102
102.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102978
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
100% |
13130
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
15013
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
32182
382.4 IPS |
|
|
Face Detection (Q)
|
100% |
40529
481.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5265
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
73026
562.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
95653
747.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15386
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
162979
209.5 IPS |
|
|
Style Transfer (Q)
|
96% |
174380
225.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3520
130.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32598
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37377
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2611
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (Q)
|
93% |
2402
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3243
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5503
94.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5883
101.7 IPS |
