iPhone 12 Pro
Geekbench AI Score
2759
Single Precision Score
12816
Half Precision Score
12264
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 09:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1273
236.7 IPS |
|
|
Image Classification (HP)
|
100% |
4396
817.5 IPS |
|
|
Image Classification (Q)
|
96% |
4899
914.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8730
141.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8590
139.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5196
6.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
61031
71.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59871
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
1332
105.6 IPS |
|
|
Object Detection (HP)
|
99% |
6086
484.2 IPS |
|
|
Object Detection (Q)
|
91% |
5042
402.9 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
15360
182.5 IPS |
|
|
Face Detection (Q)
|
100% |
12239
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4953
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
38872
299.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
36713
286.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13769
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
106296
136.6 IPS |
|
|
Style Transfer (Q)
|
96% |
94492
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2950
108.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17797
657.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18860
696.4 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2172
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3485
60.2 IPS |
