iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4882
Single Precision Score
5605
Half Precision Score
5011
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 04:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,7 |
| Motherboard | J518xAP |
| 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 | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
1889
351.2 IPS |
|
|
Image Classification (Q)
|
97% |
1963
366.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2714
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3634
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3693
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16930
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18325
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16818
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
2729
216.5 IPS |
|
|
Object Detection (Q)
|
91% |
2204
176.1 IPS |
|
|
Face Detection (SP)
|
100% |
6794
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
8366
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
5864
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12211
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13635
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11403
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28512
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34182
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32089
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6393
236.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7130
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5371
198.3 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3802
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3789
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
852
14.7 IPS |
