iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3220
Single Precision Score
4769
Half Precision Score
3965
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | virtuatony95 |
| Upload Date | August 16 2024 01:10 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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 | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1493
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.1 IPS |
|
|
Image Classification (Q)
|
99% |
1932
360.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1292
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6132
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14450
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12365
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
97% |
2268
180.5 IPS |
|
|
Object Detection (Q)
|
94% |
1742
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
2893
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
2895
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5375
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8623
66.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4399
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17379
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27120
34.9 IPS |
|
|
Style Transfer (Q)
|
100% |
27076
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3632
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3532
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3237
4.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4511
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4538
78.4 IPS |
