iPhone 12 Pro Max
Geekbench AI Score
2725
Single Precision Score
11661
Half Precision Score
11432
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 03:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1233
229.2 IPS |
|
|
Image Classification (HP)
|
100% |
4949
920.3 IPS |
|
|
Image Classification (Q)
|
96% |
5137
959.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5962
96.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6149
99.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5162
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
61922
72.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
60244
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
99% |
5757
457.9 IPS |
|
|
Object Detection (Q)
|
91% |
5601
447.6 IPS |
|
|
Face Detection (SP)
|
100% |
2564
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
14329
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
12006
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4823
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
37951
292.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
37199
290.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13426
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
99694
128.2 IPS |
|
|
Style Transfer (Q)
|
96% |
95355
123.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2901
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18652
688.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18942
699.4 IPS |
|
|
Text Classification (SP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2225
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2008
34.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1994
34.5 IPS |
