iPhone 12 Pro Max
Geekbench AI Score
2417
Single Precision Score
3736
Half Precision Score
3281
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 04:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1155
214.9 IPS |
|
|
Image Classification (HP)
|
100% |
1476
274.5 IPS |
|
|
Image Classification (Q)
|
96% |
1198
223.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1489
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4997
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
10518
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9361
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1203
95.4 IPS |
|
|
Object Detection (HP)
|
97% |
1738
138.4 IPS |
|
|
Object Detection (Q)
|
94% |
1359
108.3 IPS |
|
|
Face Detection (SP)
|
100% |
1967
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (Q)
|
100% |
2304
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4466
34.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
7093
54.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5440
42.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12588
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21120
27.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18052
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2642
97.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3976
146.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3082
113.8 IPS |
|
|
Text Classification (SP)
|
100% |
2099
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3338
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2700
46.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2743
47.4 IPS |
