iPhone 15
Geekbench AI Score
3511
Single Precision Score
6037
Half Precision Score
4915
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | attibug |
| Upload Date | March 19 2025 02:57 AM |
| Views | 10 |
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
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.1 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2717
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6691
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
14533
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12390
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2937
233.8 IPS |
|
|
Object Detection (Q)
|
94% |
2051
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6159
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3505
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6002
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11964
92.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8244
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18438
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28008
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23514
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4007
147.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4913
181.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3691
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
2634
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4611
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4621
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5868
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5886
101.7 IPS |
