iPhone 12 Pro Max
Geekbench AI Score
1387
Single Precision Score
2218
Half Precision Score
1835
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | manuelsoto |
| Upload Date | November 13 2024 08:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
557
103.6 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.2 IPS |
|
|
Image Classification (Q)
|
96% |
617
115.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
910
14.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1037
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2709
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
5805
6.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
5044
5.91 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (HP)
|
97% |
955
76.1 IPS |
|
|
Object Detection (Q)
|
94% |
718
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
2341
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1346
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2243
17.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4281
33.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
2937
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6911
8.88 IPS |
|
|
Style Transfer (HP)
|
100% |
11001
14.1 IPS |
|
|
Style Transfer (Q)
|
96% |
9224
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1904
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1416
52.3 IPS |
|
|
Text Classification (SP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (Q)
|
93% |
1786
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1228
21.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1793
31.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2029
35.1 IPS |
