iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3212
Single Precision Score
5375
Half Precision Score
4410
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 08:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1413
262.8 IPS |
|
|
Image Classification (HP)
|
100% |
2213
411.6 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2528
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6505
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14233
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12204
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
97% |
2409
191.8 IPS |
|
|
Object Detection (Q)
|
94% |
1781
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5413
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3158
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5671
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10357
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7343
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16898
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26932
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22290
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4602
169.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3516
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4536
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4549
78.6 IPS |
