iPhone 13 mini
Geekbench AI Score
2914
Single Precision Score
4354
Half Precision Score
3574
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Jloloew |
| Upload Date | August 16 2024 02:55 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
1785
331.9 IPS |
|
|
Image Classification (Q)
|
99% |
1778
331.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1114
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5364
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
12911
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10907
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.7 IPS |
|
|
Object Detection (HP)
|
97% |
2041
162.5 IPS |
|
|
Object Detection (Q)
|
94% |
1549
123.4 IPS |
|
|
Face Detection (SP)
|
100% |
2360
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
3830
45.5 IPS |
|
|
Face Detection (Q)
|
100% |
2449
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4615
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7675
59.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
3531
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15439
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24411
31.4 IPS |
|
|
Style Transfer (Q)
|
100% |
24425
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3371
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4595
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3347
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (Q)
|
93% |
3386
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2711
46.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4206
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4248
73.4 IPS |
