iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3218
Single Precision Score
5278
Half Precision Score
4355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 03:43 PM |
| Views | 5 |
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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (Q)
|
96% |
1549
289.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2585
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13856
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11977
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2434
193.7 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5472
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5795
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11035
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7630
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17164
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26277
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21854
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4483
165.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3368
124.4 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3735
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3727
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3874
66.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4299
74.3 IPS |
