iPhone 15
Geekbench AI Score
3161
Single Precision Score
5896
Half Precision Score
4756
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 01:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2609
485.3 IPS |
|
|
Image Classification (Q)
|
96% |
1784
333.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2596
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5417
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
12893
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10938
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.3 IPS |
|
|
Object Detection (HP)
|
97% |
2766
220.2 IPS |
|
|
Object Detection (Q)
|
94% |
1947
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5717
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3205
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5269
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10957
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7472
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15565
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25881
33.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21499
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3484
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3683
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2739
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4738
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4742
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3219
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6618
114.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6686
115.5 IPS |
