iPhone 15
Geekbench AI Score
3542
Single Precision Score
6085
Half Precision Score
4933
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 07:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
2557
475.6 IPS |
|
|
Image Classification (Q)
|
96% |
1740
324.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2712
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6813
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
14835
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12533
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2924
232.8 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3262
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6200
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3492
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6141
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12179
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8204
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18424
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28135
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23590
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4971
183.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3770
139.2 IPS |
|
|
Text Classification (SP)
|
100% |
2640
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4626
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4706
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5895
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5895
101.9 IPS |
