iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2854
Single Precision Score
4297
Half Precision Score
3722
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 05:45 AM |
| Views | 1 |
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 | iPad13,4 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
1678
312.0 IPS |
|
|
Image Classification (Q)
|
96% |
1274
237.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1663
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5854
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13382
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11643
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.5 IPS |
|
|
Object Detection (HP)
|
97% |
1964
156.3 IPS |
|
|
Object Detection (Q)
|
94% |
1522
121.3 IPS |
|
|
Face Detection (SP)
|
100% |
2425
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4076
48.4 IPS |
|
|
Face Detection (Q)
|
100% |
2645
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5219
40.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8175
63.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6146
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16016
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24888
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20942
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3386
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4361
161.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3424
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3796
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3748
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1817
31.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3061
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3119
53.9 IPS |
