iPhone 15
Geekbench AI Score
3598
Single Precision Score
6121
Half Precision Score
4951
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | chrisbench01 |
| Upload Date | December 14 2024 06:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1430
265.9 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.3 IPS |
|
|
Image Classification (Q)
|
96% |
1752
327.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2716
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7105
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
15155
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13072
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
97% |
2929
233.2 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6204
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3538
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6203
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12226
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8268
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19024
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28211
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23763
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4218
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3681
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4626
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4585
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5975
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5909
102.1 IPS |
