iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3234
Single Precision Score
5312
Half Precision Score
4393
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | KubaRocks |
| Upload Date | October 24 2024 09:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2178
405.0 IPS |
|
|
Image Classification (Q)
|
96% |
1559
291.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2600
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6550
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13944
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12070
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2446
194.7 IPS |
|
|
Object Detection (Q)
|
94% |
1805
143.9 IPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5583
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3224
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11071
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7643
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17187
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26330
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22048
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4437
163.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3414
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3884
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3858
66.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4208
72.7 IPS |
