iPhone 13 mini
Geekbench AI Score
2948
Single Precision Score
4386
Half Precision Score
3584
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | fiwswe |
| Upload Date | August 16 2024 09:57 AM |
| Views | 8 |
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
264.2 IPS |
|
|
Image Classification (HP)
|
100% |
1758
327.0 IPS |
|
|
Image Classification (Q)
|
99% |
1752
326.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1114
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5725
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
13321
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11125
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.4 IPS |
|
|
Object Detection (HP)
|
97% |
2086
166.1 IPS |
|
|
Object Detection (Q)
|
94% |
1572
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
3854
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
2484
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4752
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7751
59.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
3526
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15809
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24602
31.6 IPS |
|
|
Style Transfer (Q)
|
100% |
24716
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3393
125.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4663
172.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3381
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3331
4.45 KIPS |
|
|
Text Classification (Q)
|
93% |
3319
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2653
45.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4213
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4219
72.9 IPS |
