iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3211
Single Precision Score
13556
Half Precision Score
13787
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | August 15 2024 08:25 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
6124
1.14 KIPS |
|
|
Image Classification (Q)
|
99% |
6332
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6166
99.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
6164
99.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6521
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
64629
75.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
64369
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
6792
540.3 IPS |
|
|
Object Detection (Q)
|
91% |
6594
526.9 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
12694
150.8 IPS |
|
|
Face Detection (Q)
|
100% |
13733
163.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5842
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43311
333.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
45716
353.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17149
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
115749
148.8 IPS |
|
|
Style Transfer (Q)
|
100% |
122040
156.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22868
844.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22995
851.9 IPS |
|
|
Text Classification (SP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3762
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3708
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2311
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2294
39.6 IPS |
