iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3483
Single Precision Score
26840
Half Precision Score
30071
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Next_Tremity |
| Upload Date | October 31 2024 02:57 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
13667
2.54 KIPS |
|
|
Image Classification (Q)
|
96% |
14321
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18732
303.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23779
385.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6870
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
101024
117.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104486
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.3 IPS |
|
|
Object Detection (HP)
|
99% |
14919
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17225
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
32678
388.3 IPS |
|
|
Face Detection (Q)
|
100% |
41185
489.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5686
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84920
654.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
105564
824.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18861
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200837
258.2 IPS |
|
|
Style Transfer (Q)
|
96% |
187213
241.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4083
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37437
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45296
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3686
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6533
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7261
125.5 IPS |
