iPhone 12 Pro Max
Geekbench AI Score
1731
Single Precision Score
10437
Half Precision Score
10642
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:50 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
912
169.5 IPS |
|
|
Image Classification (HP)
|
100% |
4417
821.4 IPS |
|
|
Image Classification (Q)
|
99% |
5123
955.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
3610
58.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3694
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4602
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
58241
68.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
53071
62.2 IPS |
|
|
Object Detection (SP)
|
100% |
941
74.7 IPS |
|
|
Object Detection (HP)
|
99% |
5797
461.1 IPS |
|
|
Object Detection (Q)
|
93% |
5327
425.0 IPS |
|
|
Face Detection (SP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
11624
138.1 IPS |
|
|
Face Detection (Q)
|
100% |
10693
127.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3070
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36746
283.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
41629
321.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8131
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
100041
128.6 IPS |
|
|
Style Transfer (Q)
|
100% |
103346
132.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2160
79.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14804
546.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
17040
631.3 IPS |
|
|
Text Classification (SP)
|
100% |
1129
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2651
3.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2573
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1727
29.8 IPS |
