iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3235
Single Precision Score
5319
Half Precision Score
4384
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 08:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.7 IPS |
|
|
Image Classification (Q)
|
96% |
1559
291.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2590
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13876
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11982
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2453
195.3 IPS |
|
|
Object Detection (Q)
|
94% |
1801
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5596
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3235
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5829
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11035
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7650
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17189
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26257
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21984
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3350
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3914
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3929
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4219
72.9 IPS |
