iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3208
Single Precision Score
5227
Half Precision Score
4353
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Ricky8109 |
| Upload Date | December 12 2024 01:58 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
2114
393.1 IPS |
|
|
Image Classification (Q)
|
96% |
1523
284.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2587
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6535
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13877
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12006
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2389
190.2 IPS |
|
|
Object Detection (Q)
|
94% |
1772
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5551
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3202
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10916
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7586
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17186
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26231
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21981
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4366
161.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3367
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3849
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3909
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4213
72.8 IPS |
