iPhone 13 mini
Geekbench AI Score
3224
Single Precision Score
5622
Half Precision Score
4524
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.9 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2443
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5965
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
13651
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11523
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
2690
214.1 IPS |
|
|
Object Detection (Q)
|
94% |
1910
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
2819
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
5672
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3168
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5460
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10972
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7504
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17083
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26713
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21634
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3814
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4700
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3473
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4098
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5648
97.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5618
97.1 IPS |
