iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3200
Single Precision Score
5685
Half Precision Score
4665
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | DragonLand |
| Upload Date | October 08 2024 08:19 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
2335
434.2 IPS |
|
|
Image Classification (Q)
|
96% |
1703
318.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2735
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6373
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
14607
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12436
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
97% |
2693
214.4 IPS |
|
|
Object Detection (Q)
|
94% |
2023
161.2 IPS |
|
|
Face Detection (SP)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
5738
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3249
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5304
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10770
83.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7641
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17032
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27844
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23190
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3998
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3563
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3794
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3769
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3229
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5320
91.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5399
93.3 IPS |
