iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3072
Single Precision Score
5133
Half Precision Score
4022
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 07:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
2339
435.0 IPS |
|
|
Image Classification (Q)
|
96% |
1391
259.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2324
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5957
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
7744
9.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
9106
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1018
80.7 IPS |
|
|
Object Detection (HP)
|
97% |
2767
220.3 IPS |
|
|
Object Detection (Q)
|
94% |
1589
126.7 IPS |
|
|
Face Detection (SP)
|
100% |
2811
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
5498
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
2401
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5406
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10796
83.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6113
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15789
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27813
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23306
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3781
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3591
132.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3431
126.7 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3753
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3758
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3306
56.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5710
98.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5375
92.9 IPS |
