iPhone 13 mini
Geekbench AI Score
2947
Single Precision Score
4405
Half Precision Score
3767
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 07:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1418
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
1768
328.8 IPS |
|
|
Image Classification (Q)
|
96% |
1358
253.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1688
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5556
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
13480
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11196
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
97% |
2097
167.0 IPS |
|
|
Object Detection (Q)
|
94% |
1592
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
3833
45.5 IPS |
|
|
Face Detection (Q)
|
100% |
2414
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4736
36.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
7729
59.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5738
44.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15876
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24829
31.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20569
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3439
127.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4669
172.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3471
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3337
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2587
44.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4211
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4272
73.8 IPS |
