iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3161
Single Precision Score
5306
Half Precision Score
4371
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 09:48 AM |
| Views | 5 |
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 | iPad13,6 |
| Motherboard | J518AP |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2176
404.7 IPS |
|
|
Image Classification (Q)
|
96% |
1505
281.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2489
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6373
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
13894
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11810
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.0 IPS |
|
|
Object Detection (HP)
|
97% |
2317
184.5 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
5078
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
3165
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10417
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7358
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16995
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26947
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22286
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4611
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3920
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2552
44.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4654
80.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4637
80.1 IPS |
