iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2875
Single Precision Score
4320
Half Precision Score
3586
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Ricky8109 |
| Upload Date | August 15 2024 05:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.6 IPS |
|
|
Image Classification (HP)
|
100% |
1698
315.7 IPS |
|
|
Image Classification (Q)
|
99% |
1688
314.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1169
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5835
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13419
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11449
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
97% |
1957
155.8 IPS |
|
|
Object Detection (Q)
|
94% |
1519
121.1 IPS |
|
|
Face Detection (SP)
|
100% |
2392
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4081
48.5 IPS |
|
|
Face Detection (Q)
|
100% |
2650
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5196
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8106
62.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4068
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15945
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24792
31.9 IPS |
|
|
Style Transfer (Q)
|
100% |
24809
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3375
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4592
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3384
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3750
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3698
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1993
34.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3074
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3062
52.9 IPS |
