iPhone 12 Pro Max
Geekbench AI Score
1398
Single Precision Score
2225
Half Precision Score
1830
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
563
104.7 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.3 IPS |
|
|
Image Classification (Q)
|
96% |
612
114.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1045
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2707
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
5838
6.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
5063
5.93 IPS |
|
|
Object Detection (SP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (HP)
|
97% |
955
76.0 IPS |
|
|
Object Detection (Q)
|
94% |
704
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
2341
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1336
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2253
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4293
33.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
2948
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7107
9.14 IPS |
|
|
Style Transfer (HP)
|
100% |
11093
14.3 IPS |
|
|
Style Transfer (Q)
|
96% |
9120
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1919
70.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1428
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1787
2.39 KIPS |
|
|
Text Classification (Q)
|
93% |
1785
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1228
21.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1804
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2027
35.0 IPS |
