iPhone SE (2nd generation)
Geekbench AI Score
1642
Single Precision Score
3107
Half Precision Score
2512
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 11:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
795
147.8 IPS |
|
|
Image Classification (HP)
|
100% |
1402
260.8 IPS |
|
|
Image Classification (Q)
|
96% |
996
186.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1458
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3338
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
5937
6.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
5173
6.06 IPS |
|
|
Object Detection (SP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (HP)
|
97% |
1590
126.6 IPS |
|
|
Object Detection (Q)
|
94% |
1104
88.0 IPS |
|
|
Face Detection (SP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1754
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2721
21.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5883
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4157
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6531
8.40 IPS |
|
|
Style Transfer (HP)
|
100% |
14117
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11635
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1987
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2109
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
1321
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2159
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3145
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3134
54.2 IPS |
