iPhone SE (3rd generation)
Geekbench AI Score
2179
Single Precision Score
2313
Half Precision Score
2106
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sichunlam |
| Upload Date | August 15 2024 05:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
716
133.1 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.4 IPS |
|
|
Image Classification (Q)
|
99% |
554
103.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1973
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9088
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9911
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
8926
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
966
76.6 IPS |
|
|
Object Detection (HP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (Q)
|
92% |
1282
102.3 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
4769
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
3138
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7118
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6521
50.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
7770
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16427
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18958
24.4 IPS |
|
|
Style Transfer (Q)
|
100% |
18968
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2754
101.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2937
108.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2275
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
360
480.4 IPS |
|
|
Text Classification (HP)
|
100% |
353
471.6 IPS |
|
|
Text Classification (Q)
|
93% |
202
271.3 IPS |
|
|
Machine Translation (SP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
646
11.2 IPS |
