iPhone 15
Geekbench AI Score
3504
Single Precision Score
6062
Half Precision Score
4882
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 04:53 PM |
| 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% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
2564
476.8 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2259
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2710
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6757
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
14624
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12337
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
97% |
2909
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6174
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3477
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5957
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12063
93.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8175
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18201
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27947
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23242
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4018
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3672
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4569
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4518
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5869
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5890
101.8 IPS |
