iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3099
Single Precision Score
5875
Half Precision Score
4776
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | loismustdie1 |
| Upload Date | November 24 2025 12:17 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1211
225.2 IPS |
|
|
Image Classification (HP)
|
100% |
2429
451.7 IPS |
|
|
Image Classification (Q)
|
96% |
1708
318.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5999
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14881
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12599
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (HP)
|
97% |
2759
219.6 IPS |
|
|
Object Detection (Q)
|
94% |
2003
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5588
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3290
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5154
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10594
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7354
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16339
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27610
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23498
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5066
187.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3681
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3894
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6558
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6560
113.4 IPS |
