iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4918
Single Precision Score
5695
Half Precision Score
5016
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | szityus |
| Upload Date | February 28 2025 02:05 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2215
411.9 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.7 IPS |
|
|
Image Classification (Q)
|
97% |
1893
353.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3625
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3678
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16882
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18429
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16882
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2724
216.1 IPS |
|
|
Object Detection (HP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (Q)
|
91% |
2213
176.9 IPS |
|
|
Face Detection (SP)
|
100% |
6868
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
8513
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
6124
72.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12093
93.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13586
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11354
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28848
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34970
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30876
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6487
239.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7129
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5281
195.0 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3859
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
886
15.3 IPS |
