iPhone 12
Geekbench AI Score
1787
Single Precision Score
2030
Half Precision Score
1884
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jouwee |
| Upload Date | October 29 2024 08:09 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
375
69.8 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.1 IPS |
|
|
Image Classification (Q)
|
97% |
329
61.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1456
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6167
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
8988
10.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8099
9.49 IPS |
|
|
Object Detection (SP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
91% |
610
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (Q)
|
100% |
2590
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4041
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5506
42.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4693
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12888
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13522
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12757
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1410
52.1 IPS |
|
|
Text Classification (SP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3578
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (Q)
|
98% |
305
5.27 IPS |
