iPhone 12 Pro Max
Geekbench AI Score
2769
Single Precision Score
13837
Half Precision Score
14043
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 07:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1277
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
4886
908.7 IPS |
|
|
Image Classification (Q)
|
96% |
5111
954.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8680
140.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9037
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5439
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
63814
74.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
64453
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (HP)
|
99% |
6388
508.2 IPS |
|
|
Object Detection (Q)
|
91% |
5969
476.9 IPS |
|
|
Face Detection (SP)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
15444
183.5 IPS |
|
|
Face Detection (Q)
|
100% |
12776
151.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4816
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
38243
294.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
43237
337.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13607
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
112346
144.4 IPS |
|
|
Style Transfer (Q)
|
96% |
106465
137.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2975
109.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19327
713.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20689
763.9 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2473
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2318
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4880
84.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5580
96.4 IPS |
