iPhone 13 mini
Geekbench AI Score
3224
Single Precision Score
5558
Half Precision Score
4488
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mojay0103 |
| Upload Date | July 10 2025 10:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
2371
441.0 IPS |
|
|
Image Classification (Q)
|
96% |
1641
306.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2463
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6190
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
13298
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11402
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.7 IPS |
|
|
Object Detection (HP)
|
97% |
2690
214.2 IPS |
|
|
Object Detection (Q)
|
94% |
1901
151.5 IPS |
|
|
Face Detection (SP)
|
100% |
2733
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5526
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3091
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5285
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11057
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7379
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16840
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25962
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21447
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3803
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4570
168.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3402
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4146
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4126
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5564
96.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5520
95.4 IPS |
