iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3098
Single Precision Score
5431
Half Precision Score
4449
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cuber |
| Upload Date | September 23 2025 08:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1296
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2522
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6028
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14109
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12132
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
97% |
2416
192.3 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5405
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3160
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5443
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10374
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7361
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16485
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26241
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21854
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3487
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4635
171.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4309
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4243
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4760
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4717
81.5 IPS |
