iPhone 12 Pro Max
Geekbench AI Score
1807
Single Precision Score
10446
Half Precision Score
8744
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 05:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
922
171.5 IPS |
|
|
Image Classification (HP)
|
100% |
4366
812.0 IPS |
|
|
Image Classification (Q)
|
96% |
4574
854.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
3665
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
478
7.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
4576
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
57068
66.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
58886
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
1003
79.6 IPS |
|
|
Object Detection (HP)
|
99% |
5330
424.0 IPS |
|
|
Object Detection (Q)
|
93% |
4705
375.4 IPS |
|
|
Face Detection (SP)
|
100% |
1665
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
11234
133.5 IPS |
|
|
Face Detection (Q)
|
100% |
10411
123.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3327
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
37585
289.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
40882
319.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9128
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
94835
121.9 IPS |
|
|
Style Transfer (Q)
|
96% |
97893
126.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2284
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13979
516.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17495
646.0 IPS |
|
|
Text Classification (SP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3078
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1924
33.3 IPS |
