iPhone 12 Mini
Geekbench AI Score
1821
Single Precision Score
2055
Half Precision Score
1875
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 08:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
375
69.7 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
97% |
323
60.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1499
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6263
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
8955
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
7916
9.28 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (Q)
|
91% |
646
51.6 IPS |
|
|
Face Detection (SP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
3606
42.8 IPS |
|
|
Face Detection (Q)
|
100% |
2671
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4385
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5386
41.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4798
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12633
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13517
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12826
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1387
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
2110
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3574
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (Q)
|
98% |
267
4.61 IPS |
