iPhone 12 Pro Max
Geekbench AI Score
1395
Single Precision Score
8158
Half Precision Score
8643
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:11 AM |
| Views | 2 |
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% |
610
113.5 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.2 IPS |
|
|
Image Classification (Q)
|
96% |
2979
556.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4617
74.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5781
93.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2820
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
32731
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
33195
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (HP)
|
99% |
3520
280.0 IPS |
|
|
Object Detection (Q)
|
91% |
3372
269.4 IPS |
|
|
Face Detection (SP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
7720
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
7972
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2415
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24732
190.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
24714
193.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6176
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
63418
81.5 IPS |
|
|
Style Transfer (Q)
|
96% |
61902
79.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1583
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12305
454.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12691
468.6 IPS |
|
|
Text Classification (SP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (Q)
|
93% |
1896
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4114
71.1 IPS |
