iPhone 13 mini
Geekbench AI Score
3216
Single Precision Score
5580
Half Precision Score
4485
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 02:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 13 mini |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| 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 | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2339
435.1 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2001
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2476
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6239
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
13293
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11168
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (HP)
|
97% |
2707
215.5 IPS |
|
|
Object Detection (Q)
|
94% |
1909
152.1 IPS |
|
|
Face Detection (SP)
|
100% |
2710
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5612
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3103
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5320
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11049
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7461
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16907
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26574
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21444
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3762
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4611
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3422
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4091
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4053
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5598
96.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5583
96.5 IPS |
