iPhone 15
Geekbench AI Score
3534
Single Precision Score
6045
Half Precision Score
4910
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 05:10 PM |
| Views | 13 |
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% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
2546
473.4 IPS |
|
|
Image Classification (Q)
|
96% |
1735
323.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2696
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6777
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
14708
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12516
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2061
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6145
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3495
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6167
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12088
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8234
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18632
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28134
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23621
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4033
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4879
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3738
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4578
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4534
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5907
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5868
101.4 IPS |
