| User | MGGeekBench24 |
| Upload Date | November 06 2024 05:43 PM |
| Views | 13 |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
6159
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5876
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9727
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10062
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
66831
78.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66298
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7265
577.9 IPS |
|
|
Object Detection (Q)
|
91% |
6679
533.7 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16511
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
15049
178.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5844
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46091
355.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47576
371.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17150
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119968
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
113219
146.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3750
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23035
850.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23647
873.2 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3834
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5688
98.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5573
96.3 IPS |