iPhone 12 Pro Max
Geekbench AI Score
2438
Single Precision Score
3728
Half Precision Score
3270
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Iracingtom |
| Upload Date | October 03 2024 11:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1154
214.6 IPS |
|
|
Image Classification (HP)
|
100% |
1477
274.8 IPS |
|
|
Image Classification (Q)
|
96% |
1195
223.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1015
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1507
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5233
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
11009
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9813
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1215
96.4 IPS |
|
|
Object Detection (HP)
|
97% |
1748
139.2 IPS |
|
|
Object Detection (Q)
|
94% |
1364
108.8 IPS |
|
|
Face Detection (SP)
|
100% |
1962
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (Q)
|
100% |
2339
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4506
34.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
7111
55.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5493
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13080
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21568
27.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18430
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2720
100.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4003
147.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3079
113.7 IPS |
|
|
Text Classification (SP)
|
100% |
2051
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2917
3.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2757
47.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2735
47.3 IPS |
