iPhone 12 Pro Max
Geekbench AI Score
2760
Single Precision Score
11991
Half Precision Score
12101
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 09:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1227
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
4554
846.9 IPS |
|
|
Image Classification (Q)
|
96% |
4566
852.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7992
129.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8090
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5350
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
60780
70.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
60029
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
1236
98.0 IPS |
|
|
Object Detection (HP)
|
99% |
5525
439.5 IPS |
|
|
Object Detection (Q)
|
91% |
4983
398.1 IPS |
|
|
Face Detection (SP)
|
100% |
2565
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
11655
138.5 IPS |
|
|
Face Detection (Q)
|
100% |
10371
123.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4893
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36418
280.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
38744
302.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14332
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93755
120.5 IPS |
|
|
Style Transfer (Q)
|
96% |
92034
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3023
111.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16976
626.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17582
649.2 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2301
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4076
70.4 IPS |
