iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3238
Single Precision Score
15731
Half Precision Score
15429
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 18 2025 06:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
6296
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5941
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9754
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9997
162.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66326
77.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65704
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7359
585.4 IPS |
|
|
Object Detection (Q)
|
91% |
6723
537.2 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
16471
195.7 IPS |
|
|
Face Detection (Q)
|
100% |
15322
182.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5843
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47378
365.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
48087
375.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17170
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120185
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
113031
145.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23177
855.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23892
882.2 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3876
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3885
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3676
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3770
65.2 IPS |
