iPhone 12 Pro Max
Geekbench AI Score
2611
Single Precision Score
4655
Half Precision Score
3886
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 08:49 AM |
| Views | 2 |
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% |
1203
223.7 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (Q)
|
96% |
1452
271.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2054
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4670
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
10283
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9348
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1203
95.5 IPS |
|
|
Object Detection (HP)
|
97% |
2225
177.1 IPS |
|
|
Object Detection (Q)
|
94% |
1654
131.8 IPS |
|
|
Face Detection (SP)
|
100% |
2519
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
2709
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4618
35.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8924
69.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6505
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12505
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21445
27.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18493
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2638
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4147
153.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3200
118.2 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3943
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3847
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4246
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4246
73.4 IPS |
