iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3082
Single Precision Score
5413
Half Precision Score
4445
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | March 08 2026 05:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.1 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2536
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6011
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14133
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12133
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
97% |
2416
192.3 IPS |
|
|
Object Detection (Q)
|
94% |
1787
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5444
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3175
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5410
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10440
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7359
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16461
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26280
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21870
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3455
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4582
169.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3515
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4202
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4149
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4678
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4687
81.0 IPS |
