iPhone 13 mini
Geekbench AI Score
2702
Single Precision Score
19376
Half Precision Score
21575
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DDriver |
| Upload Date | October 14 2025 05:52 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1182
219.9 IPS |
|
|
Image Classification (HP)
|
100% |
8007
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
10891
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1197
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12321
199.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11441
185.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4228
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
75407
88.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
80132
93.9 IPS |
|
|
Object Detection (SP)
|
100% |
1158
91.9 IPS |
|
|
Object Detection (HP)
|
99% |
10392
826.7 IPS |
|
|
Object Detection (Q)
|
91% |
12156
971.4 IPS |
|
|
Face Detection (SP)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
27437
326.0 IPS |
|
|
Face Detection (Q)
|
100% |
33436
397.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4701
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54901
423.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
72945
570.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13311
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
140866
181.1 IPS |
|
|
Style Transfer (Q)
|
96% |
140365
181.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3238
119.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29566
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30657
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2485
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (Q)
|
93% |
2547
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2851
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5964
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6737
116.4 IPS |
