iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3209
Single Precision Score
15786
Half Precision Score
15419
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | June 02 2025 06:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
6279
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
6019
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9762
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10033
162.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6483
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
69580
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67422
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
7463
593.7 IPS |
|
|
Object Detection (Q)
|
91% |
6711
536.2 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16775
199.3 IPS |
|
|
Face Detection (Q)
|
100% |
15445
183.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5647
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47274
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
46681
364.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17009
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121510
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
117176
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22399
827.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22980
848.5 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2519
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3604
62.3 IPS |
