iPhone 12 Pro Max
Geekbench AI Score
2730
Single Precision Score
13402
Half Precision Score
13466
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1252
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
4943
919.2 IPS |
|
|
Image Classification (Q)
|
96% |
5098
951.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8692
140.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9107
147.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5257
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
64140
74.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
62002
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
99% |
5978
475.5 IPS |
|
|
Object Detection (Q)
|
91% |
5817
464.8 IPS |
|
|
Face Detection (SP)
|
100% |
2526
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
15174
180.3 IPS |
|
|
Face Detection (Q)
|
100% |
12783
151.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4652
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
37979
292.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
40535
316.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13292
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
104269
134.0 IPS |
|
|
Style Transfer (Q)
|
96% |
103041
133.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2920
107.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19102
705.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20517
757.6 IPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2269
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2308
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4246
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4713
81.4 IPS |
