iPhone 12 Pro Max
Geekbench AI Score
1457
Single Precision Score
1528
Half Precision Score
595
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 04:55 PM |
| Views | 1 |
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% |
343
63.8 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (Q)
|
97% |
303
56.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1481
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6109
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6441
7.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
5997
7.02 IPS |
|
|
Object Detection (SP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (HP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (Q)
|
92% |
630
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
2806
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
2845
33.8 IPS |
|
|
Face Detection (Q)
|
100% |
2481
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5123
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5501
42.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11576
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13466
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12587
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1464
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
255
339.8 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.0 IPS |
|
|
Text Classification (Q)
|
93% |
165
221.9 IPS |
|
|
Machine Translation (SP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
98% |
435
7.52 IPS |
