iPhone 12 Pro Max
Geekbench AI Score
2780
Single Precision Score
13002
Half Precision Score
12827
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 01:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1281
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
4421
822.2 IPS |
|
|
Image Classification (Q)
|
96% |
4519
844.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8273
134.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8445
136.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5538
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
61026
71.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59905
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
99% |
5440
432.8 IPS |
|
|
Object Detection (Q)
|
91% |
5084
406.2 IPS |
|
|
Face Detection (SP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
14101
167.6 IPS |
|
|
Face Detection (Q)
|
100% |
11992
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4898
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
40326
310.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
38031
297.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14018
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
103626
133.2 IPS |
|
|
Style Transfer (Q)
|
96% |
97094
125.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2978
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17676
652.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18465
681.8 IPS |
|
|
Text Classification (SP)
|
100% |
2110
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2279
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2322
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4883
84.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5571
96.3 IPS |
