iPhone 12 Pro
Geekbench AI Score
1826
Single Precision Score
2010
Half Precision Score
1832
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | December 01 2024 01:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
381
70.9 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
97% |
324
60.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1473
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6211
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
9041
10.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8147
9.55 IPS |
|
|
Object Detection (SP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (HP)
|
100% |
621
49.3 IPS |
|
|
Object Detection (Q)
|
91% |
534
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (Q)
|
100% |
2625
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4298
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5467
42.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
4722
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12541
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13466
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12719
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1756
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1531
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1369
50.5 IPS |
|
|
Text Classification (SP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (Q)
|
93% |
3531
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (Q)
|
98% |
270
4.66 IPS |
