iPhone 12 Pro Max
Geekbench AI Score
2726
Single Precision Score
4806
Half Precision Score
4009
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bitbanger |
| Upload Date | December 26 2025 01:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
96% |
1451
271.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2203
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5294
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
11421
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10077
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (HP)
|
97% |
2267
180.5 IPS |
|
|
Object Detection (Q)
|
94% |
1681
134.0 IPS |
|
|
Face Detection (SP)
|
100% |
2575
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4837
57.5 IPS |
|
|
Face Detection (Q)
|
100% |
2775
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4874
37.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9263
71.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6739
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13732
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23409
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20053
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2804
103.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3238
119.5 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3840
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2252
38.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4273
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4250
73.4 IPS |
