iPhone 12
Geekbench AI Score
2702
Single Precision Score
4510
Half Precision Score
3782
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 12:37 PM |
| Views | 1 |
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% |
1237
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
1918
356.7 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2210
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5280
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
10429
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9198
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.3 IPS |
|
|
Object Detection (HP)
|
97% |
2203
175.4 IPS |
|
|
Object Detection (Q)
|
94% |
1588
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
2549
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4664
55.4 IPS |
|
|
Face Detection (Q)
|
100% |
2702
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4728
36.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9373
72.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6600
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12942
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21077
27.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18468
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2771
102.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3942
145.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3017
111.4 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3607
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3607
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2283
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3411
58.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3789
65.5 IPS |
