iPhone SE (3rd generation)
Geekbench AI Score
3299
Single Precision Score
18033
Half Precision Score
20743
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 06 2024 01:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
7981
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9258
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12592
204.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13917
225.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6594
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
85647
99.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
93439
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
99% |
10344
822.8 IPS |
|
|
Object Detection (Q)
|
91% |
11773
940.7 IPS |
|
|
Face Detection (SP)
|
100% |
2812
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
24895
295.8 IPS |
|
|
Face Detection (Q)
|
100% |
32753
389.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5547
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51029
393.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
70292
549.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17883
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
151336
194.5 IPS |
|
|
Style Transfer (Q)
|
96% |
150691
194.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3948
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26596
982.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28505
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1688
2.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2142
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3489
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4734
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4913
84.9 IPS |
