iPhone 15
Geekbench AI Score
3324
Single Precision Score
5834
Half Precision Score
4688
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 07:07 AM |
| Views | 3 |
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% |
1459
271.4 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.4 IPS |
|
|
Image Classification (Q)
|
96% |
1723
321.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6030
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
13245
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11176
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.2 IPS |
|
|
Object Detection (HP)
|
97% |
2808
223.5 IPS |
|
|
Object Detection (Q)
|
94% |
1952
155.6 IPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5872
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
3220
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5413
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11576
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7749
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16697
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26178
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21744
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3654
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4729
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3542
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4650
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4622
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5733
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5764
99.6 IPS |
