iPhone 12 Pro Max
Geekbench AI Score
1942
Single Precision Score
2181
Half Precision Score
2089
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | maf654321 |
| Upload Date | April 28 2025 02:54 AM |
| Views | 33 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
389
72.3 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.4 IPS |
|
|
Image Classification (Q)
|
96% |
335
62.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1652
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6205
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
9236
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
8353
9.79 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (Q)
|
92% |
629
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
3284
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3621
43.0 IPS |
|
|
Face Detection (Q)
|
100% |
3126
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4053
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5540
42.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
5051
39.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12932
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13478
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
13091
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1428
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3705
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
98% |
499
8.63 IPS |
