iPhone 12 Pro Max
Geekbench AI Score
2754
Single Precision Score
13287
Half Precision Score
13117
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 02:08 PM |
| Views | 8 |
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% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
4519
840.3 IPS |
|
|
Image Classification (Q)
|
96% |
4609
860.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8776
142.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8807
142.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5371
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
62454
72.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
62635
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (HP)
|
99% |
5959
474.0 IPS |
|
|
Object Detection (Q)
|
91% |
5088
406.6 IPS |
|
|
Face Detection (SP)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
15226
180.9 IPS |
|
|
Face Detection (Q)
|
100% |
11812
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4857
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
37493
288.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
37367
292.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13618
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
101046
129.9 IPS |
|
|
Style Transfer (Q)
|
96% |
104367
134.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2912
107.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19161
707.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19647
725.5 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2282
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2320
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4593
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5646
97.6 IPS |
