iPhone 12 Pro Max
Geekbench AI Score
2734
Single Precision Score
4645
Half Precision Score
3858
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 01:42 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% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
1942
361.1 IPS |
|
|
Image Classification (Q)
|
96% |
1376
257.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1731
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2158
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5389
6.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
11021
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9817
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1300
103.1 IPS |
|
|
Object Detection (HP)
|
97% |
2186
174.1 IPS |
|
|
Object Detection (Q)
|
94% |
1596
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
2561
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4641
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
2697
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4776
36.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9019
69.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6415
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13394
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22385
28.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19457
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2874
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4125
152.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3163
116.8 IPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3626
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3588
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2306
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4124
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4112
71.1 IPS |
