iPhone 12 Pro Max
Geekbench AI Score
1460
Single Precision Score
1541
Half Precision Score
594
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Visidusi |
| Upload Date | December 08 2024 03:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
97% |
308
57.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6123
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6433
7.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
6007
7.03 IPS |
|
|
Object Detection (SP)
|
100% |
592
46.9 IPS |
|
|
Object Detection (HP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
92% |
622
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
2483
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5225
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5639
43.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11541
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13454
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12609
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1483
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1384
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.9 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.1 IPS |
|
|
Text Classification (Q)
|
93% |
167
223.8 IPS |
|
|
Machine Translation (SP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.02 IPS |
|
|
Machine Translation (Q)
|
98% |
448
7.74 IPS |
