iPhone 12 Pro Max
Geekbench AI Score
2582
Single Precision Score
4327
Half Precision Score
3809
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | akmacks |
| Upload Date | August 15 2024 08:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1215
226.0 IPS |
|
|
Image Classification (HP)
|
100% |
1896
352.6 IPS |
|
|
Image Classification (Q)
|
99% |
1892
352.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1711
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4765
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
9629
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
8618
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (HP)
|
97% |
2028
161.5 IPS |
|
|
Object Detection (Q)
|
94% |
1509
120.3 IPS |
|
|
Face Detection (SP)
|
100% |
2392
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (Q)
|
100% |
2526
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4413
34.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8701
67.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
8763
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12326
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20324
26.1 IPS |
|
|
Style Transfer (Q)
|
100% |
20341
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2670
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3892
143.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2876
106.6 IPS |
|
|
Text Classification (SP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3606
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3595
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3403
58.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3286
56.8 IPS |
