iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4786
Single Precision Score
5593
Half Precision Score
4180
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | August 15 2024 08:23 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1869
347.6 IPS |
|
|
Image Classification (HP)
|
100% |
1883
350.1 IPS |
|
|
Image Classification (Q)
|
99% |
1964
366.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2699
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3642
59.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3607
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16938
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18440
21.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
16296
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
2707
214.7 IPS |
|
|
Object Detection (Q)
|
91% |
2118
169.3 IPS |
|
|
Face Detection (SP)
|
100% |
6711
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
8383
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
5839
69.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12228
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13585
104.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
1923
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28985
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34250
44.0 IPS |
|
|
Style Transfer (Q)
|
100% |
34636
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6271
231.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7026
259.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5207
192.9 IPS |
|
|
Text Classification (SP)
|
100% |
2210
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3767
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
874
15.1 IPS |
