iPhone 12 Pro Max
Geekbench AI Score
2713
Single Precision Score
13126
Half Precision Score
13234
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 07:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1262
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
4462
829.9 IPS |
|
|
Image Classification (Q)
|
96% |
4747
886.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8488
137.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8925
144.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5346
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
61512
71.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
60989
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
99% |
5672
451.2 IPS |
|
|
Object Detection (Q)
|
91% |
5176
413.6 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
14471
172.0 IPS |
|
|
Face Detection (Q)
|
100% |
12170
144.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4897
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
39102
301.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
36939
288.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12747
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
105651
135.8 IPS |
|
|
Style Transfer (Q)
|
96% |
101068
130.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2698
99.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19394
716.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21466
792.6 IPS |
|
|
Text Classification (SP)
|
100% |
2145
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2654
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4139
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4761
82.3 IPS |
