iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3219
Single Precision Score
15851
Half Precision Score
15435
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | April 04 2025 02:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
6430
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
5932
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9752
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10089
163.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6466
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
69178
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67376
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
7268
578.2 IPS |
|
|
Object Detection (Q)
|
91% |
6615
528.6 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16624
197.5 IPS |
|
|
Face Detection (Q)
|
100% |
15098
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47347
364.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47074
367.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17009
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119982
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
114409
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3739
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23415
864.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23975
885.3 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4058
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4044
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3540
61.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3652
63.1 IPS |
