iPhone 12 Pro Max
Geekbench AI Score
2457
Single Precision Score
13938
Half Precision Score
14261
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rydawg |
| Upload Date | June 11 2025 10:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1193
221.9 IPS |
|
|
Image Classification (HP)
|
100% |
4991
928.2 IPS |
|
|
Image Classification (Q)
|
96% |
5170
965.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8676
140.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9124
147.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4187
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
64182
74.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
64664
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1174
93.2 IPS |
|
|
Object Detection (HP)
|
99% |
6316
502.4 IPS |
|
|
Object Detection (Q)
|
91% |
6108
488.1 IPS |
|
|
Face Detection (SP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
15344
182.3 IPS |
|
|
Face Detection (Q)
|
100% |
12737
151.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4240
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
38958
300.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
42961
335.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11167
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
109240
140.4 IPS |
|
|
Style Transfer (Q)
|
96% |
110957
143.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2401
88.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20124
743.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21178
782.0 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2592
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2255
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4954
85.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5606
96.9 IPS |
