iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3223
Single Precision Score
5297
Half Precision Score
4369
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HimenoSena |
| Upload Date | February 06 2025 05:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2168
403.2 IPS |
|
|
Image Classification (Q)
|
96% |
1558
290.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2587
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6533
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13897
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12026
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2433
193.7 IPS |
|
|
Object Detection (Q)
|
94% |
1799
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5603
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3225
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5731
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11039
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7635
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17114
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26259
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22005
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4478
165.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3398
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3822
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3770
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3878
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4190
72.4 IPS |
