iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3239
Single Precision Score
5430
Half Precision Score
4428
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ItoMeasured10 |
| Upload Date | June 24 2025 11:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
2212
411.4 IPS |
|
|
Image Classification (Q)
|
96% |
1576
294.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2537
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6496
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14223
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12216
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
2401
191.2 IPS |
|
|
Object Detection (Q)
|
94% |
1775
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5457
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3165
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5624
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10429
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7373
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16916
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26937
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22342
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3522
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2394
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3854
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2622
45.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4744
82.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4726
81.7 IPS |
