iPhone 12 Mini
Geekbench AI Score
2653
Single Precision Score
12975
Half Precision Score
12842
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | anthonya1 |
| Upload Date | January 07 2025 04:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
4470
831.2 IPS |
|
|
Image Classification (Q)
|
96% |
4800
896.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8570
138.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9129
148.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4708
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
60394
70.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
60929
71.4 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (HP)
|
99% |
5909
470.0 IPS |
|
|
Object Detection (Q)
|
91% |
5126
409.6 IPS |
|
|
Face Detection (SP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
14151
168.1 IPS |
|
|
Face Detection (Q)
|
100% |
12055
143.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4629
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
39116
301.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
36366
284.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12769
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
99393
127.8 IPS |
|
|
Style Transfer (Q)
|
96% |
99229
128.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2765
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19507
720.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20648
762.4 IPS |
|
|
Text Classification (SP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2236
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4040
69.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4441
76.7 IPS |
