iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3196
Single Precision Score
15597
Half Precision Score
15360
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 08:22 PM |
| 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 (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1421
264.2 IPS |
|
|
Image Classification (HP)
|
100% |
6246
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5855
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9652
156.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9879
160.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6504
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
66483
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66515
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
99% |
7195
572.3 IPS |
|
|
Object Detection (Q)
|
91% |
6681
533.9 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16467
195.7 IPS |
|
|
Face Detection (Q)
|
100% |
15247
181.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5657
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47235
363.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47769
373.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16988
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122665
157.7 IPS |
|
|
Style Transfer (Q)
|
96% |
117674
151.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3509
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22960
847.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23595
871.3 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3839
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3664
63.3 IPS |
