iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4847
Single Precision Score
5669
Half Precision Score
5099
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,5 |
| Motherboard | J517xAP |
| 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% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
1942
361.2 IPS |
|
|
Image Classification (Q)
|
97% |
2242
418.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2676
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3667
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16949
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18353
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16945
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (HP)
|
100% |
2752
218.3 IPS |
|
|
Object Detection (Q)
|
91% |
2238
178.8 IPS |
|
|
Face Detection (SP)
|
100% |
6678
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
8469
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
5732
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12271
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13737
105.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11301
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28329
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34678
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31955
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6307
232.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7146
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5449
201.2 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3974
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3887
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
870
15.0 IPS |
