iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
4938
Single Precision Score
5710
Half Precision Score
5101
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Wwessex |
| Upload Date | October 11 2024 04:03 AM |
| Views | 5 |
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 | iPad13,8 |
| Motherboard | J522AP |
| 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% |
2247
417.9 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.6 IPS |
|
|
Image Classification (Q)
|
97% |
2174
405.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2737
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3679
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3727
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16719
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18456
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17115
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2738
217.2 IPS |
|
|
Object Detection (HP)
|
100% |
2742
217.5 IPS |
|
|
Object Detection (Q)
|
91% |
2216
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
6990
83.1 IPS |
|
|
Face Detection (HP)
|
100% |
8411
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
5776
68.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12339
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13644
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11255
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28868
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35033
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32482
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6400
236.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7169
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5328
196.7 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3900
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
885
15.3 IPS |
