iPhone 15 Plus
Geekbench AI Score
3549
Single Precision Score
6065
Half Precision Score
4922
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 07:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1448
269.2 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.5 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2707
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6792
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
14837
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12582
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2914
232.0 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6152
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3469
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6217
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12238
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8290
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18630
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28153
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23517
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4118
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4932
182.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3704
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4569
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4643
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5947
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5940
102.6 IPS |
