iPhone 12 Pro Max
Geekbench AI Score
2480
Single Precision Score
13016
Half Precision Score
13073
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | randymassey |
| Upload Date | October 05 2025 07:57 AM |
| Views | 3 |
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% |
1081
200.9 IPS |
|
|
Image Classification (HP)
|
100% |
4955
921.5 IPS |
|
|
Image Classification (Q)
|
96% |
4998
933.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7257
117.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8486
137.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4317
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
62280
72.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
60742
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (HP)
|
99% |
6034
480.0 IPS |
|
|
Object Detection (Q)
|
91% |
5731
458.0 IPS |
|
|
Face Detection (SP)
|
100% |
2326
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
12986
154.3 IPS |
|
|
Face Detection (Q)
|
100% |
11368
135.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4517
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
37662
290.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
40626
317.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12616
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
106130
136.4 IPS |
|
|
Style Transfer (Q)
|
96% |
98039
126.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2698
99.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19733
728.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21522
794.7 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2439
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2250
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4148
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4155
71.8 IPS |
