iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4737
Single Precision Score
5265
Half Precision Score
1071
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | February 28 2025 08:30 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2423
450.5 IPS |
|
|
Image Classification (HP)
|
100% |
2441
453.9 IPS |
|
|
Image Classification (Q)
|
97% |
374
69.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
428
6.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
19285
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20503
23.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
3720
4.36 IPS |
|
|
Object Detection (SP)
|
100% |
2853
226.3 IPS |
|
|
Object Detection (HP)
|
100% |
2931
232.5 IPS |
|
|
Object Detection (Q)
|
92% |
323
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
7609
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
9083
107.9 IPS |
|
|
Face Detection (Q)
|
100% |
554
6.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
13030
100.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14353
110.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
1225
9.58 IPS |
|
|
Style Transfer (SP)
|
100% |
34265
44.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40111
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
5751
7.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7306
269.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7615
281.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
611
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3640
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1191
20.6 IPS |
