iPhone 15
Geekbench AI Score
3561
Single Precision Score
22560
Half Precision Score
25734
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | chrisbench01 |
| Upload Date | December 14 2024 06:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1433
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
10182
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12604
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14002
227.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17988
291.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6965
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
96697
112.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
101842
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
12784
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14644
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3219
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
30673
364.5 IPS |
|
|
Face Detection (Q)
|
100% |
39686
471.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6163
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
74618
574.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
94637
739.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18897
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
170227
218.8 IPS |
|
|
Style Transfer (Q)
|
96% |
174309
224.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4215
155.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32712
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36922
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (Q)
|
93% |
1906
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7292
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8177
141.3 IPS |
