iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3303
Single Precision Score
5807
Half Precision Score
4717
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jloloew |
| Upload Date | September 10 2024 02:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
2433
452.5 IPS |
|
|
Image Classification (Q)
|
96% |
1709
319.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2770
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6695
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
14257
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12628
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2737
217.9 IPS |
|
|
Object Detection (Q)
|
94% |
1963
156.5 IPS |
|
|
Face Detection (SP)
|
100% |
2874
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
5731
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3316
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5387
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11173
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7819
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18063
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27963
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23432
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4874
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3578
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3765
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3750
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5825
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5711
98.7 IPS |
