iPhone 12 Pro
Geekbench AI Score
2484
Single Precision Score
10071
Half Precision Score
10268
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | WJOhnas |
| Upload Date | August 15 2024 07:54 PM |
| Views | 12 |
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% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
5137
955.3 IPS |
|
|
Image Classification (Q)
|
99% |
5590
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5152
83.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
5132
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5572
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
58383
68.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
37349
43.8 IPS |
|
|
Object Detection (SP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (HP)
|
99% |
5583
444.1 IPS |
|
|
Object Detection (Q)
|
93% |
4510
359.8 IPS |
|
|
Face Detection (SP)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
9821
116.7 IPS |
|
|
Face Detection (Q)
|
100% |
9161
108.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3851
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
28518
219.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
36721
283.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8851
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
72497
93.2 IPS |
|
|
Style Transfer (Q)
|
100% |
108635
139.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2747
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13294
490.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
17763
658.1 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2181
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2273
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1906
32.9 IPS |
