iPhone 12 Pro Max
Geekbench AI Score
2769
Single Precision Score
12609
Half Precision Score
12553
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 08:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1262
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
3743
696.2 IPS |
|
|
Image Classification (Q)
|
96% |
4519
843.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8547
138.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8766
142.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5529
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
61851
72.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
60776
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
99% |
5994
476.8 IPS |
|
|
Object Detection (Q)
|
91% |
4543
363.0 IPS |
|
|
Face Detection (SP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
14188
168.6 IPS |
|
|
Face Detection (Q)
|
100% |
12000
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4934
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
38747
298.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
39801
311.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13792
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
98724
126.9 IPS |
|
|
Style Transfer (Q)
|
96% |
96967
125.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2931
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18799
694.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19224
709.8 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2621
3.50 KIPS |
|
|
Text Classification (Q)
|
93% |
2289
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2280
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3203
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4361
75.4 IPS |
