iPhone 12 Pro
Geekbench AI Score
2787
Single Precision Score
12588
Half Precision Score
12596
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 04:51 PM |
| Views | 1 |
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% |
1247
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
4453
828.2 IPS |
|
|
Image Classification (Q)
|
96% |
4534
846.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8319
134.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8675
140.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5710
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
60021
70.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
60262
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (HP)
|
99% |
5771
459.1 IPS |
|
|
Object Detection (Q)
|
91% |
5077
405.7 IPS |
|
|
Face Detection (SP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
14957
177.7 IPS |
|
|
Face Detection (Q)
|
100% |
12261
145.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4992
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
37411
288.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
38134
298.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14161
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
97620
125.5 IPS |
|
|
Style Transfer (Q)
|
96% |
102845
132.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3022
111.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19089
704.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19994
738.3 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2154
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2142
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2261
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4057
70.1 IPS |
