iPhone 12 Pro
Geekbench AI Score
2755
Single Precision Score
12015
Half Precision Score
12458
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 12:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
3705
688.9 IPS |
|
|
Image Classification (Q)
|
96% |
4734
884.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8377
135.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8723
141.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5423
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
60069
70.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
60048
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
99% |
5936
472.2 IPS |
|
|
Object Detection (Q)
|
91% |
5067
404.9 IPS |
|
|
Face Detection (SP)
|
100% |
2593
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
14410
171.2 IPS |
|
|
Face Detection (Q)
|
100% |
12011
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4903
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
39351
303.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
37734
294.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13595
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95460
122.7 IPS |
|
|
Style Transfer (Q)
|
96% |
93324
120.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2931
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16412
606.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17758
655.7 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (Q)
|
93% |
2255
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2275
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4233
73.2 IPS |
