iPhone 12 Pro
Geekbench AI Score
2741
Single Precision Score
4571
Half Precision Score
3808
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 10:51 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
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.1 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2192
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5476
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
10925
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9771
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1299
103.0 IPS |
|
|
Object Detection (HP)
|
97% |
2190
174.3 IPS |
|
|
Object Detection (Q)
|
94% |
1584
126.2 IPS |
|
|
Face Detection (SP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4682
55.6 IPS |
|
|
Face Detection (Q)
|
100% |
2695
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4896
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9648
74.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6659
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13501
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22107
28.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18985
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2904
107.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4009
148.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3028
111.8 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3578
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2275
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3401
58.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3761
65.0 IPS |
