iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3225
Single Precision Score
5331
Half Precision Score
4376
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LeeCD |
| Upload Date | October 04 2024 11:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,7 |
| Motherboard | J518xAP |
| 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 | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2184
406.2 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2584
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6523
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13918
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12025
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2432
193.6 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5573
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3217
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5778
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11036
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7638
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17173
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26367
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21992
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4573
168.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3419
126.3 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3915
67.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4217
72.9 IPS |
