iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3240
Single Precision Score
5313
Half Precision Score
4388
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RAMFlux |
| Upload Date | March 18 2025 01:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2174
404.3 IPS |
|
|
Image Classification (Q)
|
96% |
1563
291.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2588
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13884
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12007
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2443
194.5 IPS |
|
|
Object Detection (Q)
|
94% |
1803
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5601
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3221
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5815
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11029
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7637
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17179
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26306
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21996
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4422
163.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3389
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3926
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3929
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3900
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4196
72.5 IPS |
