iPhone 12 Pro Max
Geekbench AI Score
2817
Single Precision Score
13300
Half Precision Score
13196
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | February 01 2025 03:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1245
231.6 IPS |
|
|
Image Classification (HP)
|
100% |
4509
838.5 IPS |
|
|
Image Classification (Q)
|
96% |
4627
864.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8638
140.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9240
149.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5767
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
61068
71.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
61377
71.9 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.6 IPS |
|
|
Object Detection (HP)
|
99% |
5973
475.1 IPS |
|
|
Object Detection (Q)
|
91% |
4862
388.5 IPS |
|
|
Face Detection (SP)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
14701
174.7 IPS |
|
|
Face Detection (Q)
|
100% |
12282
145.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5047
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
38627
297.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
39379
307.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14562
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
100479
129.2 IPS |
|
|
Style Transfer (Q)
|
96% |
100104
129.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3145
116.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19388
715.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19667
726.2 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2328
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5662
97.8 IPS |
