iPhone 12 Pro Max
Geekbench AI Score
1378
Single Precision Score
2268
Half Precision Score
1853
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Zkalzahrani |
| Upload Date | April 11 2025 07:39 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
567
105.5 IPS |
|
|
Image Classification (HP)
|
100% |
902
167.8 IPS |
|
|
Image Classification (Q)
|
96% |
641
119.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1023
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2736
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6008
7.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
5140
6.02 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.9 IPS |
|
|
Object Detection (HP)
|
97% |
956
76.1 IPS |
|
|
Object Detection (Q)
|
94% |
700
55.8 IPS |
|
|
Face Detection (SP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2247
26.7 IPS |
|
|
Face Detection (Q)
|
100% |
1324
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2219
17.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4163
32.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
2860
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7100
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
11233
14.4 IPS |
|
|
Style Transfer (Q)
|
96% |
9324
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1466
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1818
2.43 KIPS |
|
|
Text Classification (Q)
|
93% |
1802
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2164
37.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2170
37.5 IPS |
