iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3121
Single Precision Score
5189
Half Precision Score
4305
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | malaricos100 |
| Upload Date | January 23 2025 04:03 PM |
| Views | 3 |
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 | iPad13,9 |
| Motherboard | J522xAP |
| 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% |
1395
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2177
404.8 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2587
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13854
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11986
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2439
194.2 IPS |
|
|
Object Detection (Q)
|
94% |
1796
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5592
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3221
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11035
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7645
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17171
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26282
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21845
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4388
162.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3382
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3264
4.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1768
30.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3721
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4237
73.2 IPS |
