iPhone 12 Pro
Geekbench AI Score
2677
Single Precision Score
4500
Half Precision Score
3753
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 03:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1231
229.0 IPS |
|
|
Image Classification (HP)
|
100% |
1910
355.2 IPS |
|
|
Image Classification (Q)
|
96% |
1356
253.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2187
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5161
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
10416
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9217
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
97% |
2173
173.0 IPS |
|
|
Object Detection (Q)
|
94% |
1562
124.5 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4726
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
2681
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4692
36.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9411
72.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6610
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12858
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21158
27.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18475
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2757
101.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3038
112.2 IPS |
|
|
Text Classification (SP)
|
100% |
2105
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3560
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3306
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3676
63.5 IPS |
