iPhone 15
Geekbench AI Score
3541
Single Precision Score
6058
Half Precision Score
4933
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 12:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1451
269.8 IPS |
|
|
Image Classification (HP)
|
100% |
2567
477.4 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2710
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6407
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
14415
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12228
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2917
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6162
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3475
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6029
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12037
93.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8222
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18313
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28150
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24069
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4298
158.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5037
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3747
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4686
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4704
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5710
98.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5924
102.4 IPS |
