iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
4884
Single Precision Score
5688
Half Precision Score
5056
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tokris |
| Upload Date | February 15 2025 06:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
1985
369.1 IPS |
|
|
Image Classification (Q)
|
97% |
1991
371.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2695
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3642
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3690
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16882
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18275
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17046
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
2736
217.0 IPS |
|
|
Object Detection (Q)
|
91% |
2186
174.7 IPS |
|
|
Face Detection (SP)
|
100% |
6839
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
8481
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
5939
70.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12273
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13780
106.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11533
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29010
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34745
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32225
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6416
236.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7118
262.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5465
201.8 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3965
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
844
14.6 IPS |
