iPhone 12 Pro Max
Geekbench AI Score
2757
Single Precision Score
4613
Half Precision Score
3848
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 07:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1251
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
1918
356.8 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2204
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5518
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
11053
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9695
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.2 IPS |
|
|
Object Detection (HP)
|
97% |
2195
174.7 IPS |
|
|
Object Detection (Q)
|
94% |
1588
126.5 IPS |
|
|
Face Detection (SP)
|
100% |
2591
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
4776
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
2774
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4858
37.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9608
74.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6725
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13426
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22026
28.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19083
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4165
153.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3071
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3719
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2342
40.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3347
57.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3787
65.4 IPS |
