iPhone 12 Pro Max
Geekbench AI Score
1443
Single Precision Score
1505
Half Precision Score
1408
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | coolcube |
| Upload Date | August 17 2024 05:57 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (Q)
|
99% |
317
59.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1542
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6031
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
6452
7.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
6001
7.03 IPS |
|
|
Object Detection (SP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (HP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (Q)
|
92% |
605
48.3 IPS |
|
|
Face Detection (SP)
|
100% |
2814
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (Q)
|
100% |
2472
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5110
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5449
42.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
5339
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11547
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13465
17.3 IPS |
|
|
Style Transfer (Q)
|
100% |
13291
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1390
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
251
335.1 IPS |
|
|
Text Classification (HP)
|
100% |
248
331.3 IPS |
|
|
Text Classification (Q)
|
93% |
165
221.1 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.88 IPS |
|
|
Machine Translation (Q)
|
98% |
430
7.44 IPS |
