iPhone 15
Geekbench AI Score
3420
Single Precision Score
5916
Half Precision Score
4794
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | December 01 2024 05:53 PM |
| Views | 2 |
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% |
1433
266.5 IPS |
|
|
Image Classification (HP)
|
100% |
2504
465.6 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2700
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6455
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
14045
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11869
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2881
229.4 IPS |
|
|
Object Detection (Q)
|
94% |
2079
165.7 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6034
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3346
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5785
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11884
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7996
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17373
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26590
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22369
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3889
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4853
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3593
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4434
5.92 KIPS |
|
|
Text Classification (Q)
|
93% |
4450
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5808
100.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5793
100.1 IPS |
