iPhone 15 Plus
Geekbench AI Score
3186
Single Precision Score
4832
Half Precision Score
3983
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bustycat |
| Upload Date | August 16 2024 04:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1472
273.7 IPS |
|
|
Image Classification (HP)
|
100% |
1909
355.1 IPS |
|
|
Image Classification (Q)
|
99% |
1901
354.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1222
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6062
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
13949
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11661
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2222
176.9 IPS |
|
|
Object Detection (Q)
|
94% |
1701
135.6 IPS |
|
|
Face Detection (SP)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
4404
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
2785
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5235
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8556
66.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4221
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16685
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25843
33.2 IPS |
|
|
Style Transfer (Q)
|
100% |
25929
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3655
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4797
177.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3619
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2584
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4319
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4257
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2789
48.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4730
81.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4648
80.3 IPS |
