iPhone SE (3rd generation)
Geekbench AI Score
2709
Single Precision Score
2964
Half Precision Score
2468
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | November 22 2024 06:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
920
171.0 IPS |
|
|
Image Classification (HP)
|
100% |
868
161.5 IPS |
|
|
Image Classification (Q)
|
97% |
609
113.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2011
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9233
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9289
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1180
93.6 IPS |
|
|
Object Detection (HP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (Q)
|
91% |
770
61.5 IPS |
|
|
Face Detection (SP)
|
100% |
4121
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
4724
56.1 IPS |
|
|
Face Detection (Q)
|
100% |
2978
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6365
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6643
51.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6009
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16730
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19086
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17781
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2932
108.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2866
105.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2488
91.9 IPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4095
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (Q)
|
98% |
296
5.12 IPS |
