iPhone 12 Pro
Geekbench AI Score
2684
Single Precision Score
4491
Half Precision Score
3724
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | F3RN1 |
| Upload Date | September 18 2024 01:44 PM |
| Views | 2 |
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% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
1912
355.6 IPS |
|
|
Image Classification (Q)
|
96% |
1372
256.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2165
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5261
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
10596
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9237
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
97% |
2169
172.7 IPS |
|
|
Object Detection (Q)
|
94% |
1563
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
2506
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
4641
55.1 IPS |
|
|
Face Detection (Q)
|
100% |
2629
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4710
36.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9267
71.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6411
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12954
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20788
26.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18055
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2807
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3989
147.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2987
110.3 IPS |
|
|
Text Classification (SP)
|
100% |
2110
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3585
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3528
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2236
38.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3365
58.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3731
64.5 IPS |
