iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3242
Single Precision Score
15658
Half Precision Score
15376
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 20 2025 07:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
6219
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5849
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9745
158.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10013
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
68170
79.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65645
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7204
573.1 IPS |
|
|
Object Detection (Q)
|
91% |
6718
536.8 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16559
196.8 IPS |
|
|
Face Detection (Q)
|
100% |
15313
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47619
366.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47684
372.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17183
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119722
153.9 IPS |
|
|
Style Transfer (Q)
|
96% |
112608
145.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3809
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22405
827.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23729
876.2 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3843
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3868
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3791
65.5 IPS |
