iPhone 12 Pro
Geekbench AI Score
2714
Single Precision Score
11724
Half Precision Score
11124
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1238
230.3 IPS |
|
|
Image Classification (HP)
|
100% |
4660
866.7 IPS |
|
|
Image Classification (Q)
|
96% |
4833
902.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5691
92.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5940
96.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5257
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
60931
71.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
61200
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.9 IPS |
|
|
Object Detection (HP)
|
99% |
5892
468.7 IPS |
|
|
Object Detection (Q)
|
91% |
4683
374.2 IPS |
|
|
Face Detection (SP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
15028
178.6 IPS |
|
|
Face Detection (Q)
|
100% |
12056
143.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4773
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
39834
306.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
37732
294.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13331
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
102540
131.8 IPS |
|
|
Style Transfer (Q)
|
96% |
98197
126.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2908
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18575
685.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18793
693.9 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2173
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2273
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1934
33.4 IPS |
