iPhone 12 Pro Max
Geekbench AI Score
1598
Single Precision Score
9399
Half Precision Score
8393
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 03:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
931
173.2 IPS |
|
|
Image Classification (HP)
|
100% |
4435
824.8 IPS |
|
|
Image Classification (Q)
|
96% |
4753
887.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
3585
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
471
7.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
4225
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
58484
68.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59795
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (HP)
|
99% |
4994
397.3 IPS |
|
|
Object Detection (Q)
|
93% |
4198
334.9 IPS |
|
|
Face Detection (SP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
11056
131.4 IPS |
|
|
Face Detection (Q)
|
100% |
9472
112.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2921
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20751
159.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
37427
292.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7811
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
91212
117.3 IPS |
|
|
Style Transfer (Q)
|
96% |
101926
131.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13518
499.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17634
651.1 IPS |
|
|
Text Classification (SP)
|
100% |
1142
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2968
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1634
28.2 IPS |
