iPhone 12 Pro Max
Geekbench AI Score
2690
Single Precision Score
4505
Half Precision Score
3772
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 03 2024 09:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
1909
355.0 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2188
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5218
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
10566
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9318
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (HP)
|
97% |
2174
173.1 IPS |
|
|
Object Detection (Q)
|
94% |
1576
125.6 IPS |
|
|
Face Detection (SP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
4734
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
2712
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4725
36.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9378
72.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6560
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12965
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21371
27.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18546
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2799
103.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3999
147.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3046
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
2103
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3555
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3557
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2250
38.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3288
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3717
64.2 IPS |
