iPhone 12 Pro
Geekbench AI Score
2654
Single Precision Score
4453
Half Precision Score
3719
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
1923
357.6 IPS |
|
|
Image Classification (Q)
|
96% |
1375
256.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2170
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5001
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
10000
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
8938
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
97% |
2170
172.7 IPS |
|
|
Object Detection (Q)
|
94% |
1563
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
2524
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4652
55.3 IPS |
|
|
Face Detection (Q)
|
100% |
2609
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4651
35.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9245
71.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6520
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12589
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20718
26.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17988
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3004
110.9 IPS |
|
|
Text Classification (SP)
|
100% |
2083
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3560
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2262
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3339
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3719
64.3 IPS |
