iPhone 12 Mini
Geekbench AI Score
2153
Single Precision Score
3731
Half Precision Score
2986
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Gijokai |
| Upload Date | June 28 2025 02:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1154
214.6 IPS |
|
|
Image Classification (HP)
|
100% |
1947
362.2 IPS |
|
|
Image Classification (Q)
|
96% |
1376
256.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2040
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4724
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
8868
10.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
8127
9.53 IPS |
|
|
Object Detection (SP)
|
100% |
1162
92.2 IPS |
|
|
Object Detection (HP)
|
97% |
2034
161.9 IPS |
|
|
Object Detection (Q)
|
94% |
1446
115.2 IPS |
|
|
Face Detection (SP)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
4352
51.7 IPS |
|
|
Face Detection (Q)
|
100% |
2466
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3826
29.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7811
60.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4688
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7818
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11850
15.2 IPS |
|
|
Style Transfer (Q)
|
96% |
9806
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3070
113.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2141
79.1 IPS |
|
|
Text Classification (SP)
|
100% |
1640
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3033
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2354
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2324
40.2 IPS |
