iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2253
Single Precision Score
3549
Half Precision Score
2857
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cellphonehater |
| Upload Date | April 25 2025 11:54 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1620
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4276
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
9229
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
7883
9.24 IPS |
|
|
Object Detection (SP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (HP)
|
97% |
1562
124.4 IPS |
|
|
Object Detection (Q)
|
94% |
1130
90.1 IPS |
|
|
Face Detection (SP)
|
100% |
2166
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (Q)
|
100% |
2049
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3676
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6637
51.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
4593
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11296
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17449
22.4 IPS |
|
|
Style Transfer (Q)
|
96% |
14285
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2478
91.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3004
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2228
82.3 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2652
3.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2637
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1801
31.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3223
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3214
55.5 IPS |
