iPhone 15
Geekbench AI Score
3348
Single Precision Score
6159
Half Precision Score
5011
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 02:29 AM |
| Views | 4 |
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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2607
484.9 IPS |
|
|
Image Classification (Q)
|
96% |
1791
334.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2692
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6224
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
14587
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12290
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (HP)
|
97% |
2915
232.0 IPS |
|
|
Object Detection (Q)
|
94% |
2096
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6064
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3426
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5747
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11555
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7928
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17192
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28159
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23057
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3863
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4758
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6885
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6985
120.7 IPS |
