iPhone 12 Pro Max
Geekbench AI Score
2741
Single Precision Score
11716
Half Precision Score
11231
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1242
230.9 IPS |
|
|
Image Classification (HP)
|
100% |
4509
838.6 IPS |
|
|
Image Classification (Q)
|
96% |
4561
851.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5872
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5734
93.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4950
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
64250
75.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
61329
71.9 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.4 IPS |
|
|
Object Detection (HP)
|
99% |
5912
470.3 IPS |
|
|
Object Detection (Q)
|
91% |
5110
408.3 IPS |
|
|
Face Detection (SP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
14334
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
12119
144.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4972
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
39020
300.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
38753
302.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13921
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
98553
126.7 IPS |
|
|
Style Transfer (Q)
|
96% |
97693
126.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2979
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18740
692.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19156
707.3 IPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2206
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2040
35.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2010
34.7 IPS |
