iPhone 15
Geekbench AI Score
3210
Single Precision Score
3310
Half Precision Score
3105
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | October 12 2024 10:22 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1187
220.7 IPS |
|
|
Image Classification (HP)
|
100% |
604
112.3 IPS |
|
|
Image Classification (Q)
|
97% |
922
172.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2460
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11720
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12317
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11424
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (HP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (Q)
|
91% |
1064
85.0 IPS |
|
|
Face Detection (SP)
|
100% |
4357
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
5961
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3728
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8223
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8349
64.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6988
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21111
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23260
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21714
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3589
132.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2740
101.2 IPS |
|
|
Text Classification (SP)
|
100% |
2555
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4470
5.97 KIPS |
|
|
Text Classification (Q)
|
93% |
4403
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (Q)
|
98% |
443
7.66 IPS |
