iPhone 15
Geekbench AI Score
3184
Single Precision Score
5982
Half Precision Score
4823
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KipR |
| Upload Date | October 25 2025 11:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
2637
490.4 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2628
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5571
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
13479
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11204
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.9 IPS |
|
|
Object Detection (HP)
|
97% |
2833
225.6 IPS |
|
|
Object Detection (Q)
|
94% |
1967
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5765
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3235
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5440
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11245
86.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7695
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15564
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26073
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21828
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3518
129.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5063
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3720
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2753
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4794
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6714
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6678
115.4 IPS |
