iPhone 13 mini
Geekbench AI Score
2706
Single Precision Score
2627
Half Precision Score
2473
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 03:23 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% |
986
183.3 IPS |
|
|
Image Classification (HP)
|
100% |
543
101.0 IPS |
|
|
Image Classification (Q)
|
97% |
706
131.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1951
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9353
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10003
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9285
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (HP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (Q)
|
91% |
665
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
4112
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
3383
40.2 IPS |
|
|
Face Detection (Q)
|
100% |
3325
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6347
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6122
47.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
5970
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16721
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19383
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17711
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2940
108.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2803
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2398
88.5 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4165
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4069
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.33 IPS |
|
|
Machine Translation (Q)
|
98% |
294
5.09 IPS |
