iPhone 12
Geekbench AI Score
1659
Single Precision Score
10236
Half Precision Score
8416
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gamer_321 |
| Upload Date | April 06 2025 01:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
755
140.3 IPS |
|
|
Image Classification (HP)
|
100% |
4450
827.6 IPS |
|
|
Image Classification (Q)
|
96% |
4471
835.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
3611
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
443
7.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
4792
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
58269
68.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59599
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
869
69.0 IPS |
|
|
Object Detection (HP)
|
99% |
5880
467.8 IPS |
|
|
Object Detection (Q)
|
93% |
4859
387.7 IPS |
|
|
Face Detection (SP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
10876
129.2 IPS |
|
|
Face Detection (Q)
|
100% |
10285
122.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3057
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
32709
252.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
39321
307.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8986
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93161
119.8 IPS |
|
|
Style Transfer (Q)
|
96% |
96659
124.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2339
86.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13737
507.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16145
596.2 IPS |
|
|
Text Classification (SP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2569
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2524
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1961
33.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1953
33.7 IPS |
