iPhone 12 Pro Max
Geekbench AI Score
2813
Single Precision Score
11744
Half Precision Score
11484
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
4402
818.6 IPS |
|
|
Image Classification (Q)
|
96% |
4355
813.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5818
94.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6061
98.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5737
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
63510
74.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
62130
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (HP)
|
99% |
6126
487.3 IPS |
|
|
Object Detection (Q)
|
91% |
5454
435.8 IPS |
|
|
Face Detection (SP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
14825
176.2 IPS |
|
|
Face Detection (Q)
|
100% |
12671
150.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5062
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
38849
299.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
40023
312.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14518
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
103963
133.6 IPS |
|
|
Style Transfer (Q)
|
96% |
99359
128.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3129
115.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17864
659.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19018
702.2 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2279
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2299
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2044
35.3 IPS |
