iPhone 12 Pro Max
Geekbench AI Score
784
Single Precision Score
3689
Half Precision Score
2184
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Visidusi |
| Upload Date | December 08 2024 09:34 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
940
174.8 IPS |
|
|
Image Classification (HP)
|
100% |
4292
798.2 IPS |
|
|
Image Classification (Q)
|
96% |
4626
863.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
3823
62.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
478
7.75 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
95% |
5248
6.15 IPS |
|
|
Object Detection (SP)
|
100% |
1022
81.1 IPS |
|
|
Object Detection (HP)
|
99% |
6106
485.7 IPS |
|
|
Object Detection (Q)
|
92% |
360
28.7 IPS |
|
|
Face Detection (SP)
|
100% |
1686
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
11694
139.0 IPS |
|
|
Face Detection (Q)
|
100% |
562
6.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
3350
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35730
275.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1688
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9112
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
103441
133.0 IPS |
|
|
Style Transfer (Q)
|
96% |
96548
124.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2322
85.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14678
542.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
855
31.6 IPS |
|
|
Text Classification (SP)
|
100% |
1150
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3673
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3788
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2001
34.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1998
34.5 IPS |
