iPhone 15
Geekbench AI Score
3309
Single Precision Score
6095
Half Precision Score
4943
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 07:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1360
252.9 IPS |
|
|
Image Classification (HP)
|
100% |
2611
485.5 IPS |
|
|
Image Classification (Q)
|
96% |
1808
337.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2684
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6029
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14083
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11943
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.2 IPS |
|
|
Object Detection (HP)
|
97% |
2887
229.8 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
5927
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
3336
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11492
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7844
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16567
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27659
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22714
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3582
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3766
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4812
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4806
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3314
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6809
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6823
117.9 IPS |
