iPhone 12 Pro Max
Geekbench AI Score
2831
Single Precision Score
4653
Half Precision Score
4085
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ardenvohr |
| Upload Date | August 15 2024 07:35 PM |
| Views | 4 |
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% |
1249
232.2 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.9 IPS |
|
|
Image Classification (Q)
|
99% |
1918
357.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1783
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5926
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
12023
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10484
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
97% |
2210
175.9 IPS |
|
|
Object Detection (Q)
|
94% |
1598
127.4 IPS |
|
|
Face Detection (SP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4751
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
2771
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5091
39.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9815
75.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
9796
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14673
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23312
30.0 IPS |
|
|
Style Transfer (Q)
|
100% |
23365
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3157
116.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4039
149.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3020
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3624
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3585
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2281
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3287
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3291
56.9 IPS |
