iPhone 15
Geekbench AI Score
3470
Single Precision Score
6003
Half Precision Score
4880
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:06 AM |
| 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 |
| 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% |
1398
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2510
466.7 IPS |
|
|
Image Classification (Q)
|
96% |
1731
323.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2699
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6581
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
14249
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12322
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
97% |
2879
229.2 IPS |
|
|
Object Detection (Q)
|
94% |
2031
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6054
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3418
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5995
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12180
94.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8085
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18102
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27740
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23284
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3961
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4903
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2599
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4626
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4693
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3354
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5853
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5864
101.3 IPS |
