iPhone 12
Geekbench AI Score
2508
Single Precision Score
4206
Half Precision Score
3522
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | December 18 2024 02:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1024
190.4 IPS |
|
|
Image Classification (HP)
|
100% |
1645
306.0 IPS |
|
|
Image Classification (Q)
|
96% |
1187
221.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1033
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1573
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4270
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
9501
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8489
9.95 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
97% |
2164
172.2 IPS |
|
|
Object Detection (Q)
|
94% |
1564
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
2317
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (Q)
|
100% |
2554
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4586
35.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9121
70.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6459
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12532
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20431
26.3 IPS |
|
|
Style Transfer (Q)
|
96% |
17700
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2660
98.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3920
144.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2963
109.4 IPS |
|
|
Text Classification (SP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3651
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2270
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3293
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3756
64.9 IPS |
