iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3235
Single Precision Score
15552
Half Precision Score
15322
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 365azureguy |
| Upload Date | December 06 2024 06:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
6181
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5847
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9763
158.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10208
165.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6528
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
69133
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66284
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
7227
574.9 IPS |
|
|
Object Detection (Q)
|
91% |
6716
536.7 IPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16497
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
15327
182.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5813
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47209
363.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47596
371.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17156
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120163
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114961
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23017
849.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23709
875.5 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3369
58.2 IPS |
