iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3225
Single Precision Score
5394
Half Precision Score
4426
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 01:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.7 IPS |
|
|
Image Classification (Q)
|
96% |
1589
296.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2538
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14253
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12238
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
97% |
2401
191.2 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5462
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3178
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5656
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10430
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7363
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16967
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26952
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22344
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4612
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3524
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3826
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3841
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2560
44.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4665
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4643
80.2 IPS |
