iPhone SE (2nd generation)
Geekbench AI Score
1095
Single Precision Score
3389
Half Precision Score
690
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 11:25 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
548
102.0 IPS |
|
|
Image Classification (HP)
|
100% |
2648
492.5 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
305
4.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
26446
30.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
3469
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (HP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (Q)
|
94% |
276
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
6778
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
353
4.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
1716
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21094
162.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
938
7.33 IPS |
|
|
Style Transfer (SP)
|
100% |
4269
5.49 IPS |
|
|
Style Transfer (HP)
|
100% |
9258
11.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3850
4.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4142
152.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
549
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.9 IPS |
|
|
Text Classification (Q)
|
93% |
453
607.5 IPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
976
16.9 IPS |
