iPhone 12 Pro
Geekbench AI Score
2627
Single Precision Score
4373
Half Precision Score
3693
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:51 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% |
1264
235.1 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.8 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2160
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5015
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
9886
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8891
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1265
100.4 IPS |
|
|
Object Detection (HP)
|
97% |
2151
171.3 IPS |
|
|
Object Detection (Q)
|
94% |
1558
124.2 IPS |
|
|
Face Detection (SP)
|
100% |
2498
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
4644
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
2579
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4543
35.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8268
63.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6348
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12483
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20549
26.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17871
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2627
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3886
143.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2938
108.5 IPS |
|
|
Text Classification (SP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3587
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3257
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3754
64.9 IPS |
