iPhone 12 Pro Max
Geekbench AI Score
2806
Single Precision Score
4643
Half Precision Score
4096
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ardenvohr |
| Upload Date | August 15 2024 05:32 PM |
| Views | 5 |
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% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
1909
355.0 IPS |
|
|
Image Classification (Q)
|
99% |
1905
355.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1777
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5639
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
11475
13.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10135
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (HP)
|
97% |
2203
175.4 IPS |
|
|
Object Detection (Q)
|
94% |
1594
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
2558
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4703
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
2736
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4996
38.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9750
75.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
9769
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14290
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23119
29.7 IPS |
|
|
Style Transfer (Q)
|
100% |
23035
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3024
111.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4203
155.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3037
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3638
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3629
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3339
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3590
62.0 IPS |
