iPhone 12 Pro
Geekbench AI Score
1753
Single Precision Score
10370
Half Precision Score
10440
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 12:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
938
174.5 IPS |
|
|
Image Classification (HP)
|
100% |
4306
800.8 IPS |
|
|
Image Classification (Q)
|
99% |
4922
918.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
3721
60.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3628
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4494
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
58822
68.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
56453
66.2 IPS |
|
|
Object Detection (SP)
|
100% |
950
75.3 IPS |
|
|
Object Detection (HP)
|
99% |
5345
425.2 IPS |
|
|
Object Detection (Q)
|
93% |
4765
380.2 IPS |
|
|
Face Detection (SP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
11237
133.5 IPS |
|
|
Face Detection (Q)
|
100% |
10514
124.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3134
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34880
268.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
38567
298.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8226
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96712
124.3 IPS |
|
|
Style Transfer (Q)
|
100% |
101680
130.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2214
81.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13842
511.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16425
608.5 IPS |
|
|
Text Classification (SP)
|
100% |
1131
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2829
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1673
28.9 IPS |
