iPhone 12 Pro Max
Geekbench AI Score
2837
Single Precision Score
11360
Half Precision Score
10937
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:17 AM |
| 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% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
4188
778.8 IPS |
|
|
Image Classification (Q)
|
96% |
4115
768.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5602
90.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6009
97.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5847
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
61725
72.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
60621
71.1 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
99% |
5907
469.9 IPS |
|
|
Object Detection (Q)
|
91% |
4601
367.7 IPS |
|
|
Face Detection (SP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
14164
168.3 IPS |
|
|
Face Detection (Q)
|
100% |
11963
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5027
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
40015
308.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
38461
300.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14771
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96289
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
94054
121.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3241
119.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17081
630.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18202
672.1 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2289
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2013
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2002
34.6 IPS |
