iPhone 15
Geekbench AI Score
3489
Single Precision Score
6072
Half Precision Score
4846
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 02 2024 06:59 AM |
| Views | 60 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.1 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.2 IPS |
|
|
Image Classification (Q)
|
96% |
1758
328.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2651
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6308
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
13920
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11753
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2903
231.1 IPS |
|
|
Object Detection (Q)
|
94% |
2055
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6010
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3374
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5832
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12185
94.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8028
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17693
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27829
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23028
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3979
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5194
191.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3713
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2660
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4719
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4690
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5960
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5846
101.0 IPS |
