iPhone 12 Pro Max
Geekbench AI Score
2817
Single Precision Score
12671
Half Precision Score
12622
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | JootecFromMars |
| Upload Date | November 10 2024 08:45 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1250
232.5 IPS |
|
|
Image Classification (HP)
|
100% |
4222
785.2 IPS |
|
|
Image Classification (Q)
|
96% |
4702
878.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8431
136.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8342
135.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5760
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
60153
70.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
60027
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
99% |
6401
509.2 IPS |
|
|
Object Detection (Q)
|
91% |
5017
400.9 IPS |
|
|
Face Detection (SP)
|
100% |
2579
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
14219
168.9 IPS |
|
|
Face Detection (Q)
|
100% |
11987
142.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5072
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
38805
299.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
37262
291.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14510
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
98144
126.2 IPS |
|
|
Style Transfer (Q)
|
96% |
108238
139.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3136
115.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18776
693.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19634
725.0 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2231
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2273
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3509
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4104
70.9 IPS |
