iPhone 12 Pro Max
Geekbench AI Score
1757
Single Precision Score
1972
Half Precision Score
1623
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | akmacks |
| Upload Date | August 15 2024 08:11 PM |
| Views | 5 |
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% |
344
64.1 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.4 IPS |
|
|
Image Classification (Q)
|
99% |
344
64.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1516
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6204
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
8826
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
7664
8.99 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (HP)
|
100% |
622
49.3 IPS |
|
|
Object Detection (Q)
|
91% |
621
49.6 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3384
40.2 IPS |
|
|
Face Detection (Q)
|
100% |
2657
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4339
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5303
40.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
915
7.08 IPS |
|
|
Style Transfer (SP)
|
100% |
12813
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13366
17.2 IPS |
|
|
Style Transfer (Q)
|
100% |
11475
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1389
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3588
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (Q)
|
98% |
369
6.38 IPS |
