iPhone 12 Pro Max
Geekbench AI Score
2421
Single Precision Score
3755
Half Precision Score
3146
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | MPN196 |
| Upload Date | August 16 2024 02:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1153
214.4 IPS |
|
|
Image Classification (HP)
|
100% |
1471
273.6 IPS |
|
|
Image Classification (Q)
|
99% |
1467
273.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1015
16.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1013
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5034
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
10743
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
9420
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1208
95.8 IPS |
|
|
Object Detection (HP)
|
97% |
1745
138.9 IPS |
|
|
Object Detection (Q)
|
94% |
1359
108.3 IPS |
|
|
Face Detection (SP)
|
100% |
1965
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (Q)
|
100% |
2321
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4463
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7126
55.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
3638
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12822
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21297
27.4 IPS |
|
|
Style Transfer (Q)
|
100% |
21323
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2673
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3045
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3360
4.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3314
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2744
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2750
47.5 IPS |
