iPhone 13 mini
Geekbench AI Score
3088
Single Precision Score
20196
Half Precision Score
23480
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ajsolomon |
| Upload Date | May 27 2025 02:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
8021
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
11115
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12667
205.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14927
242.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5410
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
86837
101.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
96462
113.1 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.8 IPS |
|
|
Object Detection (HP)
|
99% |
10612
844.2 IPS |
|
|
Object Detection (Q)
|
91% |
12383
989.4 IPS |
|
|
Face Detection (SP)
|
100% |
2659
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
29046
345.1 IPS |
|
|
Face Detection (Q)
|
100% |
36420
432.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5020
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55056
424.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
72798
568.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15696
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
159412
204.9 IPS |
|
|
Style Transfer (Q)
|
96% |
171229
221.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30041
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31066
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2526
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3644
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6430
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7215
124.7 IPS |
