iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3965
Single Precision Score
4373
Half Precision Score
4245
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cellphonehater |
| Upload Date | April 25 2025 11:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1791
333.0 IPS |
|
|
Image Classification (HP)
|
100% |
1944
361.5 IPS |
|
|
Image Classification (Q)
|
96% |
1884
351.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3114
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10018
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10569
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
10394
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
2007
159.2 IPS |
|
|
Object Detection (Q)
|
92% |
2127
169.7 IPS |
|
|
Face Detection (SP)
|
100% |
5402
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
5994
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
4788
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8220
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9066
69.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9047
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24987
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21070
27.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30281
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6252
230.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7160
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4249
156.9 IPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2643
3.53 KIPS |
|
|
Text Classification (Q)
|
93% |
2649
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
993
17.2 IPS |
