iPhone 12 Pro Max
Geekbench AI Score
2725
Single Precision Score
4670
Half Precision Score
3869
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | maf654321 |
| Upload Date | April 28 2025 02:49 AM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
1943
361.4 IPS |
|
|
Image Classification (Q)
|
96% |
1371
255.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1743
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2169
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5352
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
11009
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9809
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1279
101.4 IPS |
|
|
Object Detection (HP)
|
97% |
2180
173.6 IPS |
|
|
Object Detection (Q)
|
94% |
1596
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4650
55.3 IPS |
|
|
Face Detection (Q)
|
100% |
2727
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4789
36.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9018
69.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6465
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13474
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23046
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19436
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2885
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4125
152.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3159
116.6 IPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3630
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4122
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4109
71.0 IPS |
