iPhone 15 Plus
Geekbench AI Score
2767
Single Precision Score
2722
Half Precision Score
992
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | September 21 2024 09:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1369
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
780
145.1 IPS |
|
|
Image Classification (Q)
|
97% |
659
123.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2575
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2481
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11664
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12464
14.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
11118
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (HP)
|
100% |
1288
102.2 IPS |
|
|
Object Detection (Q)
|
92% |
1212
96.8 IPS |
|
|
Face Detection (SP)
|
100% |
4162
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
4327
51.4 IPS |
|
|
Face Detection (Q)
|
100% |
3881
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8332
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8534
65.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20734
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22775
29.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21020
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3576
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3593
132.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3034
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
367
490.0 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.7 IPS |
|
|
Text Classification (Q)
|
93% |
220
295.6 IPS |
|
|
Machine Translation (SP)
|
100% |
565
9.74 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
98% |
772
13.3 IPS |
