iPhone 12 Pro Max
Geekbench AI Score
2708
Single Precision Score
4794
Half Precision Score
3942
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 09:43 AM |
| Views | 4 |
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% |
1226
227.9 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (Q)
|
96% |
1445
269.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1933
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5051
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
11273
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10116
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1228
97.4 IPS |
|
|
Object Detection (HP)
|
97% |
2252
179.3 IPS |
|
|
Object Detection (Q)
|
94% |
1661
132.4 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4773
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
2746
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4847
37.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9267
71.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6663
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13746
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23537
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19873
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2852
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4152
153.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3209
118.5 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3931
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2226
38.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4203
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4215
72.8 IPS |
