iPhone 15
Geekbench AI Score
3368
Single Precision Score
6222
Half Precision Score
5069
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 09:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
2609
485.2 IPS |
|
|
Image Classification (Q)
|
96% |
1822
340.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2694
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6372
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
15010
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12621
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
97% |
2936
233.7 IPS |
|
|
Object Detection (Q)
|
94% |
2100
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6142
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3487
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11532
89.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7977
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17744
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28676
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23729
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5147
190.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3921
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4843
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4722
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3393
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6994
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7050
121.8 IPS |
