iPhone 15 Plus
Geekbench AI Score
3557
Single Precision Score
19588
Half Precision Score
22304
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 06:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1439
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
9740
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
12376
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11720
190.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13335
216.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6781
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
96824
113.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101718
119.2 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
12895
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14867
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3338
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
31117
369.7 IPS |
|
|
Face Detection (Q)
|
100% |
38595
458.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6181
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74436
573.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
94681
740.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18569
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
173602
223.2 IPS |
|
|
Style Transfer (Q)
|
96% |
173774
224.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4110
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32519
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37177
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2005
2.68 KIPS |
|
|
Text Classification (Q)
|
93% |
2281
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2226
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2268
39.2 IPS |
