iPhone 15
Geekbench AI Score
3576
Single Precision Score
22029
Half Precision Score
25130
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 11:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
9979
1.86 KIPS |
|
|
Image Classification (Q)
|
97% |
10597
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14639
237.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19092
309.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6733
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
97291
113.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101905
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
11904
944.2 IPS |
|
|
Object Detection (Q)
|
91% |
14283
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
30302
360.1 IPS |
|
|
Face Detection (Q)
|
100% |
39717
471.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6125
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
70968
546.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
89864
702.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18303
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
169780
218.3 IPS |
|
|
Style Transfer (Q)
|
96% |
170534
220.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32849
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36281
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1832
2.45 KIPS |
|
|
Text Classification (Q)
|
93% |
1857
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7242
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8318
143.7 IPS |
