iPhone 15
Geekbench AI Score
3094
Single Precision Score
3470
Half Precision Score
3331
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Zuluman |
| Upload Date | September 18 2024 07:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
803
149.3 IPS |
|
|
Image Classification (HP)
|
100% |
729
135.5 IPS |
|
|
Image Classification (Q)
|
97% |
880
164.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2570
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11887
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12447
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11263
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
100% |
1396
110.8 IPS |
|
|
Object Detection (Q)
|
91% |
1282
102.5 IPS |
|
|
Face Detection (SP)
|
100% |
4065
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
5821
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
4068
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8290
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8605
66.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6902
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21201
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23405
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21718
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3730
137.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2785
102.8 IPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4741
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4572
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.67 IPS |
|
|
Machine Translation (Q)
|
98% |
665
11.5 IPS |
