iPhone 12 Pro Max
Geekbench AI Score
1791
Single Precision Score
2009
Half Precision Score
1882
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | February 01 2025 03:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
369
68.6 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.4 IPS |
|
|
Image Classification (Q)
|
97% |
346
64.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1489
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6213
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
9460
11.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
8472
9.93 IPS |
|
|
Object Detection (SP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (HP)
|
100% |
637
50.5 IPS |
|
|
Object Detection (Q)
|
91% |
587
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (Q)
|
100% |
2614
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4304
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5499
42.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4748
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12772
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13435
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12705
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1364
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1451
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3628
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3619
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (Q)
|
98% |
263
4.55 IPS |
