iPhone 12 Pro Max
Geekbench AI Score
1473
Single Precision Score
1650
Half Precision Score
1581
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
333
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.7 IPS |
|
|
Image Classification (Q)
|
97% |
299
55.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1243
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4662
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4917
5.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
4517
5.29 IPS |
|
|
Object Detection (SP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
91% |
634
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
2820
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (Q)
|
100% |
2197
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3280
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4489
34.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
3538
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9980
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12468
16.0 IPS |
|
|
Style Transfer (Q)
|
96% |
11829
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1512
55.8 IPS |
|
|
Text Classification (SP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1752
2.34 KIPS |
|
|
Text Classification (Q)
|
93% |
1746
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.57 IPS |
