iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4852
Single Precision Score
5685
Half Precision Score
4989
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 04:56 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 | iPad13,4 |
| 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% |
1968
365.9 IPS |
|
|
Image Classification (HP)
|
100% |
2101
390.7 IPS |
|
|
Image Classification (Q)
|
97% |
1851
345.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2707
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3628
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3671
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17008
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18389
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16994
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2740
217.3 IPS |
|
|
Object Detection (HP)
|
100% |
2725
216.1 IPS |
|
|
Object Detection (Q)
|
91% |
2203
176.0 IPS |
|
|
Face Detection (SP)
|
100% |
6801
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
8519
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
5828
69.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12218
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13625
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11427
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28574
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34704
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32369
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6342
234.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7060
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5305
195.9 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3807
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
864
14.9 IPS |
