iPhone 12 Pro Max
Geekbench AI Score
2731
Single Precision Score
4585
Half Precision Score
3826
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1254
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.8 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2220
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5345
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
10818
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9571
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.3 IPS |
|
|
Object Detection (HP)
|
97% |
2205
175.6 IPS |
|
|
Object Detection (Q)
|
94% |
1593
127.0 IPS |
|
|
Face Detection (SP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4773
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
2769
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4871
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9556
73.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6680
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13177
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21930
28.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18927
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2847
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4029
148.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3069
113.3 IPS |
|
|
Text Classification (SP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3575
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3507
60.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3779
65.3 IPS |
