iPhone 15
Geekbench AI Score
3147
Single Precision Score
3590
Half Precision Score
3321
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wierzbi |
| Upload Date | December 04 2024 08:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
675
125.4 IPS |
|
|
Image Classification (HP)
|
100% |
1165
216.7 IPS |
|
|
Image Classification (Q)
|
97% |
989
184.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2496
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2517
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11777
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12438
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11405
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (Q)
|
91% |
1496
119.6 IPS |
|
|
Face Detection (SP)
|
100% |
5203
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
6207
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
4221
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8641
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9065
69.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7377
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21184
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23411
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21846
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3598
132.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3003
110.9 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4652
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4586
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (Q)
|
98% |
411
7.10 IPS |
