iPhone 13 mini
Geekbench AI Score
2925
Single Precision Score
19835
Half Precision Score
21863
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 28 2026 04:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1248
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
7672
1.43 KIPS |
|
|
Image Classification (Q)
|
96% |
10405
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12807
207.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15191
246.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5099
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
79848
93.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
80293
94.1 IPS |
|
|
Object Detection (SP)
|
100% |
1228
97.4 IPS |
|
|
Object Detection (HP)
|
99% |
10651
847.3 IPS |
|
|
Object Detection (Q)
|
91% |
12174
972.7 IPS |
|
|
Face Detection (SP)
|
100% |
2487
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
28449
338.0 IPS |
|
|
Face Detection (Q)
|
100% |
36539
434.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4635
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58880
453.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
67370
526.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15025
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
154016
198.0 IPS |
|
|
Style Transfer (Q)
|
96% |
146515
189.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3374
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29214
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30649
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2514
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2501
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6055
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5844
101.0 IPS |
