iPhone 12 Pro Max
Geekbench AI Score
1456
Single Precision Score
1533
Half Precision Score
1422
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | MPN196 |
| Upload Date | August 16 2024 03:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1501
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6126
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
6525
7.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
5981
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
92% |
632
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (Q)
|
100% |
2517
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5001
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5360
41.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
5281
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11529
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13379
17.2 IPS |
|
|
Style Transfer (Q)
|
100% |
13350
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1489
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1413
52.4 IPS |
|
|
Text Classification (SP)
|
100% |
256
342.1 IPS |
|
|
Text Classification (HP)
|
100% |
251
335.3 IPS |
|
|
Text Classification (Q)
|
93% |
166
222.5 IPS |
|
|
Machine Translation (SP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.00 IPS |
|
|
Machine Translation (Q)
|
98% |
439
7.58 IPS |
