iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3227
Single Precision Score
5308
Half Precision Score
4387
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
2185
406.4 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2590
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6478
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
13962
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12057
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2448
194.9 IPS |
|
|
Object Detection (Q)
|
94% |
1803
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5583
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3217
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5777
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11073
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7673
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17072
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26327
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22038
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4460
164.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3404
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3843
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3841
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3860
66.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4215
72.8 IPS |
