iPhone 12
Geekbench AI Score
1767
Single Precision Score
1953
Half Precision Score
1811
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | December 30 2024 12:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
350
65.2 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (Q)
|
97% |
321
59.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1489
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6213
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
7529
8.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
6772
7.94 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
91% |
565
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (Q)
|
100% |
2682
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4023
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5361
41.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
4668
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12606
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13665
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12723
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1535
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1363
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3563
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (Q)
|
98% |
269
4.65 IPS |
