iPhone 13 mini
Geekbench AI Score
2936
Single Precision Score
4403
Half Precision Score
3776
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 02:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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 | 3.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
1772
329.6 IPS |
|
|
Image Classification (Q)
|
96% |
1356
253.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1688
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5683
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13216
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11143
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
97% |
2079
165.5 IPS |
|
|
Object Detection (Q)
|
94% |
1587
126.5 IPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
3917
46.5 IPS |
|
|
Face Detection (Q)
|
100% |
2496
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4754
36.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
7767
60.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5755
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15787
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24700
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20413
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3422
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4672
172.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3477
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (Q)
|
93% |
3355
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4245
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4266
73.7 IPS |
