iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3446
Single Precision Score
26273
Half Precision Score
28912
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 02:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
14060
2.61 KIPS |
|
|
Image Classification (Q)
|
96% |
14638
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19548
316.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23974
388.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6843
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
105784
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105741
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.6 IPS |
|
|
Object Detection (HP)
|
99% |
14987
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16871
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
32922
391.2 IPS |
|
|
Face Detection (Q)
|
100% |
41664
495.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5613
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
83574
643.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
108066
844.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18643
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202518
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
193094
249.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3955
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39199
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45615
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3765
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4263
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4366
75.4 IPS |
