iPhone 12
Geekbench AI Score
2761
Single Precision Score
4681
Half Precision Score
3895
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 04:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1276
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.1 IPS |
|
|
Image Classification (Q)
|
96% |
1376
256.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2165
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5653
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
11352
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10002
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
97% |
2188
174.2 IPS |
|
|
Object Detection (Q)
|
94% |
1597
127.3 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4628
55.0 IPS |
|
|
Face Detection (Q)
|
100% |
2717
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4849
37.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9094
70.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6479
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13626
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23305
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19684
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2902
107.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4137
152.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3171
117.1 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3610
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3743
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2303
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4110
71.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4114
71.1 IPS |
