iPhone 12
Geekbench AI Score
2780
Single Precision Score
10876
Half Precision Score
11211
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Kellum |
| Upload Date | August 23 2024 07:00 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1256
233.7 IPS |
|
|
Image Classification (HP)
|
100% |
4882
907.9 IPS |
|
|
Image Classification (Q)
|
99% |
5327
993.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5297
85.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
5409
87.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5667
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
57471
67.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
59466
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
99% |
5560
442.3 IPS |
|
|
Object Detection (Q)
|
91% |
5121
409.2 IPS |
|
|
Face Detection (SP)
|
100% |
2555
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
11393
135.4 IPS |
|
|
Face Detection (Q)
|
100% |
11183
132.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4988
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
32694
251.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
38759
299.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13948
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
93668
120.4 IPS |
|
|
Style Transfer (Q)
|
100% |
97306
125.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2958
109.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17946
662.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18679
692.0 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2278
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2008
34.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1993
34.4 IPS |
