iPhone 13 mini
Geekbench AI Score
2921
Single Precision Score
3090
Half Precision Score
3171
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ajsolomon |
| Upload Date | May 27 2025 03:00 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
765
142.3 IPS |
|
|
Image Classification (HP)
|
100% |
516
95.9 IPS |
|
|
Image Classification (Q)
|
96% |
864
161.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2224
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9356
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10424
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
9996
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1082
85.8 IPS |
|
|
Object Detection (HP)
|
100% |
1023
81.1 IPS |
|
|
Object Detection (Q)
|
92% |
910
72.6 IPS |
|
|
Face Detection (SP)
|
100% |
4205
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
5014
59.6 IPS |
|
|
Face Detection (Q)
|
100% |
3930
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6388
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6697
51.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6493
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16683
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19231
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19057
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2960
109.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2989
110.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3905
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4211
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4242
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
732
12.6 IPS |
