iPhone 12 Pro Max
Geekbench AI Score
2440
Single Precision Score
3749
Half Precision Score
3296
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 04:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1173
218.2 IPS |
|
|
Image Classification (HP)
|
100% |
1485
276.1 IPS |
|
|
Image Classification (Q)
|
96% |
1199
223.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1511
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5109
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
10722
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9648
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1217
96.5 IPS |
|
|
Object Detection (HP)
|
97% |
1748
139.2 IPS |
|
|
Object Detection (Q)
|
94% |
1365
108.8 IPS |
|
|
Face Detection (SP)
|
100% |
1914
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (Q)
|
100% |
2313
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4486
34.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
7067
54.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
5417
42.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12892
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21317
27.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18314
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2674
98.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3960
146.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3050
112.6 IPS |
|
|
Text Classification (SP)
|
100% |
2100
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3353
4.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3323
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1677
28.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2730
47.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2735
47.3 IPS |
