iPhone 12 Pro Max
Geekbench AI Score
2716
Single Precision Score
4668
Half Precision Score
3875
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 05:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
1930
358.9 IPS |
|
|
Image Classification (Q)
|
96% |
1355
253.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2158
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5363
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
11015
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9790
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
97% |
2182
173.7 IPS |
|
|
Object Detection (Q)
|
94% |
1596
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
2555
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4637
55.1 IPS |
|
|
Face Detection (Q)
|
100% |
2726
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4786
36.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9178
70.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6473
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13364
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22705
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19512
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3170
117.0 IPS |
|
|
Text Classification (SP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3737
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3721
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4099
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4119
71.2 IPS |
