iPhone 12
Geekbench AI Score
1653
Single Precision Score
10169
Half Precision Score
8440
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 05:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
768
142.8 IPS |
|
|
Image Classification (HP)
|
100% |
4700
874.1 IPS |
|
|
Image Classification (Q)
|
96% |
4347
811.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
3608
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
461
7.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
4608
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
57053
66.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59921
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (HP)
|
99% |
5321
423.2 IPS |
|
|
Object Detection (Q)
|
93% |
4816
384.2 IPS |
|
|
Face Detection (SP)
|
100% |
1478
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
11038
131.2 IPS |
|
|
Face Detection (Q)
|
100% |
10330
122.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3063
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34793
268.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
42208
329.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8922
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93476
120.2 IPS |
|
|
Style Transfer (Q)
|
96% |
96866
125.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2283
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13605
502.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16177
597.3 IPS |
|
|
Text Classification (SP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2435
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1936
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1908
33.0 IPS |
