iPhone 12 Pro Max
Geekbench AI Score
2740
Single Precision Score
12756
Half Precision Score
12347
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 11:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1223
227.4 IPS |
|
|
Image Classification (HP)
|
100% |
4847
901.4 IPS |
|
|
Image Classification (Q)
|
96% |
4826
901.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8095
131.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8240
133.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5327
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
61561
71.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
60054
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
99% |
6126
487.3 IPS |
|
|
Object Detection (Q)
|
91% |
4932
394.1 IPS |
|
|
Face Detection (SP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
11422
135.7 IPS |
|
|
Face Detection (Q)
|
100% |
10075
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4886
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
37000
285.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
35724
279.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13898
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
98958
127.2 IPS |
|
|
Style Transfer (Q)
|
96% |
97497
125.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19997
738.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19838
732.5 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2498
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2492
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4033
69.7 IPS |
