iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
4851
Single Precision Score
5696
Half Precision Score
5061
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 07:14 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (Q)
|
97% |
1930
360.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2649
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3638
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3701
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16848
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18349
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17076
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2749
218.1 IPS |
|
|
Object Detection (HP)
|
100% |
2776
220.2 IPS |
|
|
Object Detection (Q)
|
91% |
2240
179.0 IPS |
|
|
Face Detection (SP)
|
100% |
6749
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8420
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
5848
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12321
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13896
107.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11389
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28270
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34662
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32013
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6393
236.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5423
200.2 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3959
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3933
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
889
15.4 IPS |
