iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2852
Single Precision Score
4345
Half Precision Score
3730
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 04:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (HP)
|
100% |
1695
315.2 IPS |
|
|
Image Classification (Q)
|
96% |
1288
240.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1689
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5844
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13506
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11673
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (HP)
|
97% |
1975
157.2 IPS |
|
|
Object Detection (Q)
|
94% |
1530
121.9 IPS |
|
|
Face Detection (SP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4098
48.7 IPS |
|
|
Face Detection (Q)
|
100% |
2673
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5221
40.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8152
63.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6165
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15963
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24915
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20914
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3396
125.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4738
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3443
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3682
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1784
30.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3056
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3071
53.1 IPS |
