iPhone 12 Pro Max
Geekbench AI Score
2806
Single Precision Score
13105
Half Precision Score
13227
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 06:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
4487
834.4 IPS |
|
|
Image Classification (Q)
|
96% |
4865
908.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8491
137.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8806
142.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5664
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
61212
71.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
61341
71.9 IPS |
|
|
Object Detection (SP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (HP)
|
99% |
5571
443.2 IPS |
|
|
Object Detection (Q)
|
91% |
5219
417.0 IPS |
|
|
Face Detection (SP)
|
100% |
2561
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
14587
173.3 IPS |
|
|
Face Detection (Q)
|
100% |
12110
143.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5011
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
38949
300.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
36463
284.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14373
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
99657
128.1 IPS |
|
|
Style Transfer (Q)
|
96% |
98164
126.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3116
115.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19553
722.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19760
729.6 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2492
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4731
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5602
96.8 IPS |
