iPhone 15
Geekbench AI Score
3494
Single Precision Score
6151
Half Precision Score
5005
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | September 12 2025 08:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.3 IPS |
|
|
Image Classification (Q)
|
96% |
1752
327.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2644
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6723
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
14965
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12569
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2900
230.9 IPS |
|
|
Object Detection (Q)
|
94% |
2060
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
5981
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3429
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6029
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11695
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8035
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17730
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29156
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23897
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3958
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5149
190.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3883
143.4 IPS |
|
|
Text Classification (SP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4783
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6582
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6727
116.3 IPS |
