iPhone SE (3rd generation)
Geekbench AI Score
3210
Single Precision Score
5553
Half Precision Score
4479
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | November 22 2024 06:15 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone SE (3rd generation) |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1367
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
2362
439.3 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2472
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6072
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
13285
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11263
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
97% |
2673
212.8 IPS |
|
|
Object Detection (Q)
|
94% |
1878
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
2732
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5484
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3055
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5317
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10985
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7424
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16672
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26191
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21427
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3797
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4632
171.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3450
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4104
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4088
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5580
96.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5561
96.1 IPS |
