iPhone 15
Geekbench AI Score
3295
Single Precision Score
3523
Half Precision Score
3152
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Zuluman |
| Upload Date | September 21 2024 05:56 PM |
| Views | 7 |
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% |
794
147.7 IPS |
|
|
Image Classification (HP)
|
100% |
1159
215.6 IPS |
|
|
Image Classification (Q)
|
97% |
821
153.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2435
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11772
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12405
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11241
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
100% |
1191
94.4 IPS |
|
|
Object Detection (Q)
|
91% |
1120
89.5 IPS |
|
|
Face Detection (SP)
|
100% |
5419
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
5766
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
4044
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8673
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8434
65.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6711
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21299
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23483
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21875
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3679
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3430
126.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2227
82.2 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4682
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4602
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
98% |
634
11.0 IPS |
