iPhone 12
Geekbench AI Score
2689
Single Precision Score
4499
Half Precision Score
3781
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 07:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
1916
356.4 IPS |
|
|
Image Classification (Q)
|
96% |
1360
254.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2202
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5207
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
10419
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9352
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
97% |
2205
175.6 IPS |
|
|
Object Detection (Q)
|
94% |
1592
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4743
56.4 IPS |
|
|
Face Detection (Q)
|
100% |
2713
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4736
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9439
73.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6597
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12757
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21030
27.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18380
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2727
100.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3969
146.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3052
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3548
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3277
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3767
65.1 IPS |
