iPhone 13 mini
Geekbench AI Score
2130
Single Precision Score
2353
Half Precision Score
783
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | croissantdeepimpact |
| Upload Date | June 18 2025 02:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
549
102.1 IPS |
|
|
Image Classification (HP)
|
100% |
715
133.0 IPS |
|
|
Image Classification (Q)
|
97% |
456
85.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2037
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1957
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9154
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9895
11.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
8993
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
843
66.9 IPS |
|
|
Object Detection (HP)
|
100% |
961
76.3 IPS |
|
|
Object Detection (Q)
|
92% |
710
56.7 IPS |
|
|
Face Detection (SP)
|
100% |
4126
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
3891
46.2 IPS |
|
|
Face Detection (Q)
|
100% |
2835
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6144
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7921
61.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16326
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19150
24.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17740
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2805
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2855
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2355
87.0 IPS |
|
|
Text Classification (SP)
|
100% |
353
471.1 IPS |
|
|
Text Classification (HP)
|
100% |
354
472.0 IPS |
|
|
Text Classification (Q)
|
93% |
203
271.9 IPS |
|
|
Machine Translation (SP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
98% |
635
11.0 IPS |
