iPhone 13 mini
Geekbench AI Score
3187
Single Precision Score
19937
Half Precision Score
21810
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Zedd |
| Upload Date | March 20 2025 06:54 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
9437
1.76 KIPS |
|
|
Image Classification (Q)
|
96% |
9782
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12502
202.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14183
229.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5882
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
87446
102.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
93047
109.1 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (HP)
|
99% |
10767
856.5 IPS |
|
|
Object Detection (Q)
|
91% |
11219
896.4 IPS |
|
|
Face Detection (SP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
25857
307.2 IPS |
|
|
Face Detection (Q)
|
100% |
31867
378.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5223
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55561
428.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
76009
594.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16589
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
152025
195.4 IPS |
|
|
Style Transfer (Q)
|
96% |
149821
193.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3730
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26791
989.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29428
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2148
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6605
113.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7331
126.7 IPS |
