iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4854
Single Precision Score
5716
Half Precision Score
5048
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | January 09 2025 03:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
2089
388.5 IPS |
|
|
Image Classification (Q)
|
97% |
2059
384.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2679
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3625
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3666
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16915
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18411
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17077
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2751
218.2 IPS |
|
|
Object Detection (HP)
|
100% |
2729
216.4 IPS |
|
|
Object Detection (Q)
|
91% |
2165
173.0 IPS |
|
|
Face Detection (SP)
|
100% |
6844
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
8524
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
5768
68.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12172
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13787
106.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11489
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28772
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34826
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32220
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6383
235.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7148
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5482
202.4 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3886
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
848
14.7 IPS |
