S iPhone 15 iPhone 15
Geekbench AI Score
3517
Single Precision Score
6077
Half Precision Score
4878
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ERTIS |
| Upload Date | March 18 2025 12:13 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
2518
468.3 IPS |
|
|
Image Classification (Q)
|
96% |
1725
322.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2702
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6781
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
14749
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12477
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2901
230.9 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6135
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3419
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6081
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12231
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8228
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18340
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28032
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23334
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4009
148.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4998
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3688
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4691
6.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4572
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3378
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5874
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5812
100.4 IPS |
