iPhone 13 mini
Geekbench AI Score
3022
Single Precision Score
5297
Half Precision Score
4273
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | woefio |
| Upload Date | December 04 2024 09:10 AM |
| Views | 2 |
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% |
1246
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
2269
422.0 IPS |
|
|
Image Classification (Q)
|
96% |
1526
285.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2201
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5331
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
11765
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10091
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1165
92.4 IPS |
|
|
Object Detection (HP)
|
97% |
2480
197.4 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
2561
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
5258
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
2893
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5075
39.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10793
83.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7194
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16341
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25634
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21134
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4552
168.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3377
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4098
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3385
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5504
95.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5487
94.8 IPS |
