iPhone 12 Pro Max
Geekbench AI Score
2788
Single Precision Score
4639
Half Precision Score
3849
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | February 01 2025 03:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1913
355.8 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2197
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5557
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
11138
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9955
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.5 IPS |
|
|
Object Detection (HP)
|
97% |
2202
175.3 IPS |
|
|
Object Detection (Q)
|
94% |
1599
127.5 IPS |
|
|
Face Detection (SP)
|
100% |
2563
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
2769
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4984
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9677
74.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6712
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14118
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22902
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19238
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2977
109.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4031
148.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3037
112.1 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3639
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2354
40.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3621
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3791
65.5 IPS |
