iPhone 12 Pro Max
Geekbench AI Score
2410
Single Precision Score
3681
Half Precision Score
3233
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 07:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1165
216.7 IPS |
|
|
Image Classification (HP)
|
100% |
1485
276.2 IPS |
|
|
Image Classification (Q)
|
96% |
1196
223.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1497
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5074
5.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
10665
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9519
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1202
95.4 IPS |
|
|
Object Detection (HP)
|
97% |
1737
138.3 IPS |
|
|
Object Detection (Q)
|
94% |
1353
107.8 IPS |
|
|
Face Detection (SP)
|
100% |
1935
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (Q)
|
100% |
2302
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4464
34.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
7063
54.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
5432
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12640
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20923
26.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18005
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2634
97.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3938
145.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3039
112.2 IPS |
|
|
Text Classification (SP)
|
100% |
2044
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2918
3.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2900
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1587
27.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2737
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2731
47.2 IPS |
