iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5082
Single Precision Score
5885
Half Precision Score
5526
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ItoMeasured10 |
| Upload Date | June 21 2025 08:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1884
350.4 IPS |
|
|
Image Classification (HP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (Q)
|
96% |
1886
352.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4019
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4245
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4072
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16820
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18891
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18186
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (Q)
|
92% |
2425
193.6 IPS |
|
|
Face Detection (SP)
|
100% |
6705
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
8395
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
7053
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12397
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13930
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
12776
99.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29007
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34056
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34064
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6364
235.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7293
269.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6603
243.8 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
994
17.2 IPS |
