iPhone 12 Pro Max
Geekbench AI Score
2771
Single Precision Score
13182
Half Precision Score
13252
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | maf654321 |
| Upload Date | April 28 2025 02:56 AM |
| Views | 35 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1275
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
4398
818.0 IPS |
|
|
Image Classification (Q)
|
96% |
4816
899.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8557
138.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8735
141.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5489
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
62647
73.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
62839
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
99% |
5775
459.4 IPS |
|
|
Object Detection (Q)
|
91% |
5264
420.6 IPS |
|
|
Face Detection (SP)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
15338
182.2 IPS |
|
|
Face Detection (Q)
|
100% |
11967
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4872
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
37650
290.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
39744
310.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14129
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
102023
131.2 IPS |
|
|
Style Transfer (Q)
|
96% |
100529
129.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2978
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19041
703.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19837
732.5 IPS |
|
|
Text Classification (SP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2257
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2295
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4680
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5609
96.9 IPS |
