iPhone 12 Pro Max
Geekbench AI Score
2731
Single Precision Score
12505
Half Precision Score
12266
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1249
232.3 IPS |
|
|
Image Classification (HP)
|
100% |
4352
809.4 IPS |
|
|
Image Classification (Q)
|
96% |
4671
872.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8281
134.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9159
148.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5244
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
60678
70.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
59888
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
99% |
5821
463.1 IPS |
|
|
Object Detection (Q)
|
91% |
4605
368.0 IPS |
|
|
Face Detection (SP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
13985
166.2 IPS |
|
|
Face Detection (Q)
|
100% |
11825
140.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4881
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
38787
298.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
35999
281.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13425
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96236
123.7 IPS |
|
|
Style Transfer (Q)
|
96% |
95416
123.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2899
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17430
643.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17887
660.5 IPS |
|
|
Text Classification (SP)
|
100% |
2084
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2233
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2270
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4030
69.6 IPS |
