iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2833
Single Precision Score
5056
Half Precision Score
4057
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | waleriewitch |
| Upload Date | October 17 2024 06:35 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1385
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2172
403.9 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2598
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13956
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12054
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2438
194.1 IPS |
|
|
Object Detection (Q)
|
94% |
1798
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
2402
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
5117
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
3220
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5744
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10493
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6134
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10313
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26098
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
15065
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2483
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3306
122.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2851
105.3 IPS |
|
|
Text Classification (SP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
3720
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3868
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3879
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4195
72.5 IPS |
