iPhone 13 mini
Geekbench AI Score
2953
Single Precision Score
4394
Half Precision Score
3695
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jloloew |
| Upload Date | September 07 2024 04:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
1782
331.4 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1666
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5580
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
12963
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11047
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
97% |
2052
163.4 IPS |
|
|
Object Detection (Q)
|
94% |
1539
122.7 IPS |
|
|
Face Detection (SP)
|
100% |
2312
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
3821
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
2452
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4698
36.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7756
60.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5117
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15403
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24028
30.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20059
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3390
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4769
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3412
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (Q)
|
93% |
3416
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3031
52.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4247
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4190
72.4 IPS |
