iPad Pro (11-inch 3rd generation)
Geekbench AI Score
6328
Single Precision Score
7105
Half Precision Score
6665
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | loismustdie1 |
| Upload Date | November 24 2025 12:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 15.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2534
471.3 IPS |
|
|
Image Classification (HP)
|
100% |
2742
509.9 IPS |
|
|
Image Classification (Q)
|
96% |
2469
461.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5113
82.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5206
84.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5068
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20369
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22989
26.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
22191
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2864
227.2 IPS |
|
|
Object Detection (HP)
|
100% |
2999
237.9 IPS |
|
|
Object Detection (Q)
|
92% |
2867
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
7972
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
9657
114.8 IPS |
|
|
Face Detection (Q)
|
100% |
8140
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14282
110.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15404
118.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14150
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37030
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43534
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
41414
53.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7880
291.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8343
308.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7316
270.1 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3916
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1772
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1600
27.6 IPS |
