iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3439
Single Precision Score
26288
Half Precision Score
29207
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Andoni22 |
| Upload Date | May 20 2025 06:08 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
14028
2.61 KIPS |
|
|
Image Classification (Q)
|
96% |
15311
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19569
317.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23858
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6795
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
104792
122.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104301
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
15623
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17269
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
32998
392.1 IPS |
|
|
Face Detection (Q)
|
100% |
41560
493.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5588
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84126
648.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
106790
834.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18550
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
203071
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192926
249.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38420
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47662
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3856
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3666
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4198
72.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4363
75.4 IPS |
