iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3224
Single Precision Score
5413
Half Precision Score
4409
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aperecko |
| Upload Date | March 23 2025 09:49 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.7 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2531
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6505
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14242
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12226
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2410
191.9 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5438
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5666
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10389
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7335
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17004
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26988
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22379
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3539
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3819
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4580
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4571
79.0 IPS |
