iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3204
Single Precision Score
15718
Half Precision Score
15396
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Opecory |
| Upload Date | April 18 2025 09:27 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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% |
1406
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
6193
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5838
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9625
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9957
161.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6478
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
69085
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66755
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
99% |
7191
572.0 IPS |
|
|
Object Detection (Q)
|
91% |
6704
535.7 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16391
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
15081
179.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5677
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47237
363.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47966
374.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16938
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120243
154.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114895
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23069
851.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23568
870.3 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3960
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2529
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3710
64.1 IPS |
