iPhone SE (3rd generation)
Geekbench AI Score
3296
Single Precision Score
5638
Half Precision Score
4583
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 06 2024 11:25 AM |
| Views | 5 |
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% |
1338
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
2273
422.8 IPS |
|
|
Image Classification (Q)
|
96% |
1592
297.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2508
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6650
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
14117
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11942
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1449
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2670
212.6 IPS |
|
|
Object Detection (Q)
|
94% |
1910
152.3 IPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
5713
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3232
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5510
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11056
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7565
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17709
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27235
35.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22395
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3941
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3511
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4128
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4091
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5738
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5710
98.7 IPS |
