iPhone 12 Pro Max
Geekbench AI Score
2517
Single Precision Score
4480
Half Precision Score
3743
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1194
222.0 IPS |
|
|
Image Classification (HP)
|
100% |
1933
359.5 IPS |
|
|
Image Classification (Q)
|
96% |
1393
260.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2108
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4548
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
9795
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8763
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1143
90.6 IPS |
|
|
Object Detection (HP)
|
97% |
2125
169.2 IPS |
|
|
Object Detection (Q)
|
94% |
1540
122.8 IPS |
|
|
Face Detection (SP)
|
100% |
2419
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4507
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
2539
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4407
34.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8702
67.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6142
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12103
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20653
26.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17662
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2562
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3974
146.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3119
115.2 IPS |
|
|
Text Classification (SP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (HP)
|
99% |
3796
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4135
71.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4165
72.0 IPS |
