iPhone 13 mini
Geekbench AI Score
2669
Single Precision Score
2731
Half Precision Score
2447
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 08:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
999
185.7 IPS |
|
|
Image Classification (HP)
|
100% |
917
170.6 IPS |
|
|
Image Classification (Q)
|
97% |
701
130.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1950
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9262
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9025
10.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8321
9.75 IPS |
|
|
Object Detection (SP)
|
100% |
1077
85.4 IPS |
|
|
Object Detection (HP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
91% |
738
59.0 IPS |
|
|
Face Detection (SP)
|
100% |
4150
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
3463
41.1 IPS |
|
|
Face Detection (Q)
|
100% |
3033
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6436
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6024
46.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6060
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16625
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19100
24.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18006
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2880
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2676
98.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2312
85.4 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4154
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4094
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (Q)
|
98% |
293
5.06 IPS |
