iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3221
Single Precision Score
4731
Half Precision Score
3926
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | August 15 2024 05:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
281.9 IPS |
|
|
Image Classification (HP)
|
100% |
1928
358.6 IPS |
|
|
Image Classification (Q)
|
99% |
1924
358.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1290
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6134
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14442
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12264
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
97% |
2269
180.6 IPS |
|
|
Object Detection (Q)
|
94% |
1732
138.0 IPS |
|
|
Face Detection (SP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
4476
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
2876
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5380
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8629
66.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4399
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17380
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27100
34.8 IPS |
|
|
Style Transfer (Q)
|
100% |
27039
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4735
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3559
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3026
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4544
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4480
77.4 IPS |
