iPhone 15
Geekbench AI Score
3549
Single Precision Score
6083
Half Precision Score
4925
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | October 12 2024 09:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.4 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2707
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6904
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
15057
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12778
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2936
233.8 IPS |
|
|
Object Detection (Q)
|
94% |
2084
166.1 IPS |
|
|
Face Detection (SP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6262
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
3537
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6170
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12355
95.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8336
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18688
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28779
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23480
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4918
181.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3740
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4453
5.94 KIPS |
|
|
Text Classification (Q)
|
93% |
4430
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5893
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5864
101.3 IPS |
