iPhone SE (2nd generation)
Geekbench AI Score
1065
Single Precision Score
3224
Half Precision Score
624
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 11:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
549
102.0 IPS |
|
|
Image Classification (HP)
|
100% |
2792
519.2 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
301
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
3014
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
24965
29.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
2947
3.45 IPS |
|
|
Object Detection (SP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (HP)
|
100% |
2405
190.8 IPS |
|
|
Object Detection (Q)
|
94% |
263
21.0 IPS |
|
|
Face Detection (SP)
|
100% |
1126
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
6752
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
358
4.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
1773
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21329
164.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
844
6.60 IPS |
|
|
Style Transfer (SP)
|
100% |
3670
4.72 IPS |
|
|
Style Transfer (HP)
|
100% |
7785
10.0 IPS |
|
|
Style Transfer (Q)
|
96% |
3230
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4000
147.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
446
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
437
583.0 IPS |
|
|
Text Classification (Q)
|
93% |
429
576.4 IPS |
|
|
Machine Translation (SP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
753
13.0 IPS |
